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Mathematics and Statistics Theses and Dissertations

Theses/dissertations from 2023 2023.

Classification of Finite Topological Quandles and Shelves via Posets , Hitakshi Lahrani

Applied Analysis for Learning Architectures , Himanshu Singh

Rational Functions of Degree Five That Permute the Projective Line Over a Finite Field , Christopher Sze

Theses/Dissertations from 2022 2022

New Developments in Statistical Optimal Designs for Physical and Computer Experiments , Damola M. Akinlana

Advances and Applications of Optimal Polynomial Approximants , Raymond Centner

Data-Driven Analytical Predictive Modeling for Pancreatic Cancer, Financial & Social Systems , Aditya Chakraborty

On Simultaneous Similarity of d-tuples of Commuting Square Matrices , Corey Connelly

Symbolic Computation of Lump Solutions to a Combined (2+1)-dimensional Nonlinear Evolution Equation , Jingwei He

Boundary behavior of analytic functions and Approximation Theory , Spyros Pasias

Stability Analysis of Delay-Driven Coupled Cantilevers Using the Lambert W-Function , Daniel Siebel-Cortopassi

A Functional Optimization Approach to Stochastic Process Sampling , Ryan Matthew Thurman

Theses/Dissertations from 2021 2021

Riemann-Hilbert Problems for Nonlocal Reverse-Time Nonlinear Second-order and Fourth-order AKNS Systems of Multiple Components and Exact Soliton Solutions , Alle Adjiri

Zeros of Harmonic Polynomials and Related Applications , Azizah Alrajhi

Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting , Hsiao-Chuan Chou

Uncertainty Quantification in Deep and Statistical Learning with applications in Bio-Medical Image Analysis , K. Ruwani M. Fernando

Data-Driven Analytical Modeling of Multiple Myeloma Cancer, U.S. Crop Production and Monitoring Process , Lohuwa Mamudu

Long-time Asymptotics for mKdV Type Reduced Equations of the AKNS Hierarchy in Weighted L 2 Sobolev Spaces , Fudong Wang

Online and Adjusted Human Activities Recognition with Statistical Learning , Yanjia Zhang

Theses/Dissertations from 2020 2020

Bayesian Reliability Analysis of The Power Law Process and Statistical Modeling of Computer and Network Vulnerabilities with Cybersecurity Application , Freeh N. Alenezi

Discrete Models and Algorithms for Analyzing DNA Rearrangements , Jasper Braun

Bayesian Reliability Analysis for Optical Media Using Accelerated Degradation Test Data , Kun Bu

On the p(x)-Laplace equation in Carnot groups , Robert D. Freeman

Clustering methods for gene expression data of Oxytricha trifallax , Kyle Houfek

Gradient Boosting for Survival Analysis with Applications in Oncology , Nam Phuong Nguyen

Global and Stochastic Dynamics of Diffusive Hindmarsh-Rose Equations in Neurodynamics , Chi Phan

Restricted Isometric Projections for Differentiable Manifolds and Applications , Vasile Pop

On Some Problems on Polynomial Interpolation in Several Variables , Brian Jon Tuesink

Numerical Study of Gap Distributions in Determinantal Point Process on Low Dimensional Spheres: L -Ensemble of O ( n ) Model Type for n = 2 and n = 3 , Xiankui Yang

Non-Associative Algebraic Structures in Knot Theory , Emanuele Zappala

Theses/Dissertations from 2019 2019

Field Quantization for Radiative Decay of Plasmons in Finite and Infinite Geometries , Maryam Bagherian

Probabilistic Modeling of Democracy, Corruption, Hemophilia A and Prediabetes Data , A. K. M. Raquibul Bashar

Generalized Derivations of Ternary Lie Algebras and n-BiHom-Lie Algebras , Amine Ben Abdeljelil

Fractional Random Weighted Bootstrapping for Classification on Imbalanced Data with Ensemble Decision Tree Methods , Sean Charles Carter

Hierarchical Self-Assembly and Substitution Rules , Daniel Alejandro Cruz

Statistical Learning of Biomedical Non-Stationary Signals and Quality of Life Modeling , Mahdi Goudarzi

Probabilistic and Statistical Prediction Models for Alzheimer’s Disease and Statistical Analysis of Global Warming , Maryam Ibrahim Habadi

Essays on Time Series and Machine Learning Techniques for Risk Management , Michael Kotarinos

The Systems of Post and Post Algebras: A Demonstration of an Obvious Fact , Daviel Leyva

Reconstruction of Radar Images by Using Spherical Mean and Regular Radon Transforms , Ozan Pirbudak

Analyses of Unorthodox Overlapping Gene Segments in Oxytricha Trifallax , Shannon Stich

An Optimal Medium-Strength Regularity Algorithm for 3-uniform Hypergraphs , John Theado

Power Graphs of Quasigroups , DayVon L. Walker

Theses/Dissertations from 2018 2018

Groups Generated by Automata Arising from Transformations of the Boundaries of Rooted Trees , Elsayed Ahmed

Non-equilibrium Phase Transitions in Interacting Diffusions , Wael Al-Sawai

A Hybrid Dynamic Modeling of Time-to-event Processes and Applications , Emmanuel A. Appiah

Lump Solutions and Riemann-Hilbert Approach to Soliton Equations , Sumayah A. Batwa

Developing a Model to Predict Prevalence of Compulsive Behavior in Individuals with OCD , Lindsay D. Fields

Generalizations of Quandles and their cohomologies , Matthew J. Green

Hamiltonian structures and Riemann-Hilbert problems of integrable systems , Xiang Gu

Optimal Latin Hypercube Designs for Computer Experiments Based on Multiple Objectives , Ruizhe Hou

Human Activity Recognition Based on Transfer Learning , Jinyong Pang

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods , Minh H. Pham

Statistical Analysis and Modeling of Cyber Security and Health Sciences , Nawa Raj Pokhrel

Machine Learning Methods for Network Intrusion Detection and Intrusion Prevention Systems , Zheni Svetoslavova Stefanova

Orthogonal Polynomials With Respect to the Measure Supported Over the Whole Complex Plane , Meng Yang

Theses/Dissertations from 2017 2017

Modeling in Finance and Insurance With Levy-It'o Driven Dynamic Processes under Semi Markov-type Switching Regimes and Time Domains , Patrick Armand Assonken Tonfack

Prevalence of Typical Images in High School Geometry Textbooks , Megan N. Cannon

On Extending Hansel's Theorem to Hypergraphs , Gregory Sutton Churchill

Contributions to Quandle Theory: A Study of f-Quandles, Extensions, and Cohomology , Indu Rasika U. Churchill

Linear Extremal Problems in the Hardy Space H p for 0 p , Robert Christopher Connelly

Statistical Analysis and Modeling of Ovarian and Breast Cancer , Muditha V. Devamitta Perera

Statistical Analysis and Modeling of Stomach Cancer Data , Chao Gao

Structural Analysis of Poloidal and Toroidal Plasmons and Fields of Multilayer Nanorings , Kumar Vijay Garapati

Dynamics of Multicultural Social Networks , Kristina B. Hilton

Cybersecurity: Stochastic Analysis and Modelling of Vulnerabilities to Determine the Network Security and Attackers Behavior , Pubudu Kalpani Kaluarachchi

Generalized D-Kaup-Newell integrable systems and their integrable couplings and Darboux transformations , Morgan Ashley McAnally

Patterns in Words Related to DNA Rearrangements , Lukas Nabergall

Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer , Shuang Na

Schreier Graphs of Thompson's Group T , Allen Pennington

Cybersecurity: Probabilistic Behavior of Vulnerability and Life Cycle , Sasith Maduranga Rajasooriya

Bayesian Artificial Neural Networks in Health and Cybersecurity , Hansapani Sarasepa Rodrigo

Real-time Classification of Biomedical Signals, Parkinson’s Analytical Model , Abolfazl Saghafi

Lump, complexiton and algebro-geometric solutions to soliton equations , Yuan Zhou

Theses/Dissertations from 2016 2016

A Statistical Analysis of Hurricanes in the Atlantic Basin and Sinkholes in Florida , Joy Marie D'andrea

Statistical Analysis of a Risk Factor in Finance and Environmental Models for Belize , Sherlene Enriquez-Savery

Putnam's Inequality and Analytic Content in the Bergman Space , Matthew Fleeman

On the Number of Colors in Quandle Knot Colorings , Jeremy William Kerr

Statistical Modeling of Carbon Dioxide and Cluster Analysis of Time Dependent Information: Lag Target Time Series Clustering, Multi-Factor Time Series Clustering, and Multi-Level Time Series Clustering , Doo Young Kim

Some Results Concerning Permutation Polynomials over Finite Fields , Stephen Lappano

Hamiltonian Formulations and Symmetry Constraints of Soliton Hierarchies of (1+1)-Dimensional Nonlinear Evolution Equations , Solomon Manukure

Modeling and Survival Analysis of Breast Cancer: A Statistical, Artificial Neural Network, and Decision Tree Approach , Venkateswara Rao Mudunuru

Generalized Phase Retrieval: Isometries in Vector Spaces , Josiah Park

Leonard Systems and their Friends , Jonathan Spiewak

Resonant Solutions to (3+1)-dimensional Bilinear Differential Equations , Yue Sun

Statistical Analysis and Modeling Health Data: A Longitudinal Study , Bhikhari Prasad Tharu

Global Attractors and Random Attractors of Reaction-Diffusion Systems , Junyi Tu

Time Dependent Kernel Density Estimation: A New Parameter Estimation Algorithm, Applications in Time Series Classification and Clustering , Xing Wang

On Spectral Properties of Single Layer Potentials , Seyed Zoalroshd

Theses/Dissertations from 2015 2015

Analysis of Rheumatoid Arthritis Data using Logistic Regression and Penalized Approach , Wei Chen

Active Tile Self-assembly and Simulations of Computational Systems , Daria Karpenko

Nearest Neighbor Foreign Exchange Rate Forecasting with Mahalanobis Distance , Vindya Kumari Pathirana

Statistical Learning with Artificial Neural Network Applied to Health and Environmental Data , Taysseer Sharaf

Radial Versus Othogonal and Minimal Projections onto Hyperplanes in l_4^3 , Richard Alan Warner

Ensemble Learning Method on Machine Maintenance Data , Xiaochuang Zhao

Theses/Dissertations from 2014 2014

Properties of Graphs Used to Model DNA Recombination , Ryan Arredondo

Recursive Methods in Number Theory, Combinatorial Graph Theory, and Probability , Jonathan Burns

On the Classification of Groups Generated by Automata with 4 States over a 2-Letter Alphabet , Louis Caponi

Statistical Analysis, Modeling, and Algorithms for Pharmaceutical and Cancer Systems , Bong-Jin Choi

Topological Data Analysis of Properties of Four-Regular Rigid Vertex Graphs , Grant Mcneil Conine

Trend Analysis and Modeling of Health and Environmental Data: Joinpoint and Functional Approach , Ram C. Kafle

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Top 99+ Trending Statistics Research Topics for Students

Being a statistics student, finding the best statistics research topics is quite challenging. But not anymore; find the best statistics research topics now!!!

Statistics is one of the tough subjects because it consists of lots of formulas, equations and many more. Therefore the students need to spend their time to understand these concepts. And when it comes to finding the best statistics research project for their topics, statistics students are always looking for someone to help them. 

In this blog, we will share with you the most interesting and trending statistics research topics in 2023. It will not just help you to stand out in your class but also help you to explore more about the world.

If you face any problem regarding statistics, then don’t worry. You can get the best statistics assignment help from one of our experts.

As you know, it is always suggested that you should work on interesting topics. That is why we have mentioned the most interesting research topics for college students and high school students. Here in this blog post, we will share with you the list of 99+ awesome statistics research topics.

Why Do We Need to Have Good Statistics Research Topics?

Table of Contents

Having a good research topic will not just help you score good grades, but it will also allow you to finish your project quickly. Because whenever we work on something interesting, our productivity automatically boosts. Thus, you need not invest lots of time and effort, and you can achieve the best with minimal effort and time. 

What Are Some Interesting Research Topics?

If we talk about the interesting research topics in statistics, it can vary from student to student. But here are the key topics that are quite interesting for almost every student:-

• Literacy rate in a city.
• Abortion and pregnancy rate in the USA.
• Eating disorders in the citizens.
• Parent role in self-esteem and confidence of the student.
• Uses of AI in our daily life to business corporates.

Top 99+ Trending Statistics Research Topics For 2023

Here in this section, we will tell you more than 99 trending statistics research topics:

Sports Statistics Research Topics

• Statistical analysis for legs and head injuries in Football.
• Statistical analysis for shoulder and knee injuries in MotoGP.
• Deep statistical evaluation for the doping test in sports from the past decade.
• Statistical observation on the performance of athletes in the last Olympics.
• Role and effect of sports in the life of the student.

Psychology Research Topics for Statistics

• Deep statistical analysis of the effect of obesity on the student’s mental health in high school and college students.
• Statistical evolution to find out the suicide reason among students and adults.
• Statistics analysis to find out the effect of divorce on children in a country.
• Psychology affects women because of the gender gap in specific country areas.
• Statistics analysis to find out the cause of online bullying in students’ lives. 
• In Psychology, PTSD and descriptive tendencies are discussed.
• The function of researchers in statistical testing and probability.
• Acceptable significance and probability thresholds in clinical Psychology.
• The utilization of hypothesis and the role of P 0.05 for improved comprehension.
• What types of statistical data are typically rejected in psychology?
• The application of basic statistical principles and reasoning in psychological analysis.
• The role of correlation is when several psychological concepts are at risk.
• Actual case study learning and modeling are used to generate statistical reports.
• In psychology, naturalistic observation is used as a research sample.
• How should descriptive statistics be used to represent behavioral data sets?

Applied Statistics Research Topics

• Does education have a deep impact on the financial success of an individual?
• The investment in digital technology is having a meaningful return for corporations?
• The gap of financial wealth between rich and poor in the USA.
• A statistical approach to identify the effects of high-frequency trading in financial markets.
• Statistics analysis to determine the impact of the multi-agent model in financial markets. 

Personalized Medicine Statistics Research Topics

• Statistical analysis on the effect of methamphetamine on substance abusers.
• Deep research on the impact of the Corona vaccine on the Omnicrone variant. 
• Find out the best cancer treatment approach between orthodox therapies and alternative therapies.
• Statistics analysis to identify the role of genes in the child’s overall immunity.
• What factors help the patients to survive from Coronavirus .

Experimental Design Statistics Research Topics

• Generic vs private education is one of the best for the students and has better financial return.
• Psychology vs physiology: which leads the person not to quit their addictions?
• Effect of breastmilk vs packed milk on the infant child overall development
• Which causes more accidents: male alcoholics vs female alcoholics.
• What causes the student not to reveal the cyberbullying in front of their parents in most cases. 

Easy Statistics Research Topics

• Application of statistics in the world of data science
• Statistics for finance: how statistics is helping the company to grow their finance
• Advantages and disadvantages of Radar chart
• Minor marriages in south-east Asia and African countries.
• Discussion of ANOVA and correlation.
• What statistical methods are most effective for active sports?
• When measuring the correctness of college tests, a ranking statistical approach is used.
• Statistics play an important role in Data Mining operations.
• The practical application of heat estimation in engineering fields.
• In the field of speech recognition, statistical analysis is used.
• Estimating probiotics: how much time is necessary for an accurate statistical sample?
• How will the United States population grow in the next twenty years?
• The legislation and statistical reports deal with contentious issues.
• The application of empirical entropy approaches with online grammar checking.
• Transparency in statistical methodology and the reporting system of the United States Census Bureau.

Statistical Research Topics for High School

• Uses of statistics in chemometrics
• Statistics in business analytics and business intelligence
• Importance of statistics in physics.
• Deep discussion about multivariate statistics
• Uses of Statistics in machine learning

Survey Topics for Statistics

• Gather the data of the most qualified professionals in a specific area.
• Survey the time wasted by the students in watching Tvs or Netflix.
• Have a survey the fully vaccinated people in the USA 
• Gather information on the effect of a government survey on the life of citizens
• Survey to identify the English speakers in the world.

Statistics Research Paper Topics for Graduates

• Have a deep decision of Bayes theorems
• Discuss the Bayesian hierarchical models
• Analysis of the process of Japanese restaurants. 
• Deep analysis of Lévy’s continuity theorem
• Analysis of the principle of maximum entropy

AP Statistics Topics

• Discuss about the importance of econometrics
• Analyze the pros and cons of Probit Model
• Types of probability models and their uses
• Deep discussion of ortho stochastic matrix
• Find out the ways to get an adjacency matrix quickly

Good Statistics Research Topics 

• National income and the regulation of cryptocurrency.
• The benefits and drawbacks of regression analysis.
• How can estimate methods be used to correct statistical differences?
• Mathematical prediction models vs observation tactics.
• In sociology research, there is bias in quantitative data analysis.
• Inferential analytical approaches vs. descriptive statistics.
• How reliable are AI-based methods in statistical analysis?
• The internet news reporting and the fluctuations: statistics reports.
• The importance of estimate in modeled statistics and artificial sampling.

Business Statistics Topics

• Role of statistics in business in 2023
• Importance of business statistics and analytics
• What is the role of central tendency and dispersion in statistics
• Best process of sampling business data.
• Importance of statistics in big data.
• The characteristics of business data sampling: benefits and cons of software solutions.
• How may two different business tasks be tackled concurrently using linear regression analysis?
• In economic data relations, index numbers, random probability, and correctness are all important.
• The advantages of a dataset approach to statistics in programming statistics.
• Commercial statistics: how should the data be prepared for maximum accuracy?

Statistical Research Topics for College Students

• Evaluate the role of John Tukey’s contribution to statistics.
• The role of statistics to improve ADHD treatment.
• The uses and timeline of probability in statistics.
• Deep analysis of Gertrude Cox’s experimental design in statistics.
• Discuss about Florence Nightingale in statistics.
• What sorts of music do college students prefer?
• The Main Effect of Different Subjects on Student Performance.
• The Importance of Analytics in Statistics Research.
• The Influence of a Better Student in Class.
• Do extracurricular activities help in the transformation of personalities?
• Backbenchers’ Impact on Class Performance.
• Medication’s Importance in Class Performance.
• Are e-books better than traditional books?
• Choosing aspects of a subject in college

How To Write Good Statistics Research Topics?

So, the main question that arises here is how you can write good statistics research topics. The trick is understanding the methodology that is used to collect and interpret statistical data. However, if you are trying to pick any topic for your statistics project, you must think about it before going any further. 

As a result, it will teach you about the data types that will be researched because the sample will be chosen correctly. On the other hand, your basic outline for choosing the correct topics is as follows:

• Introduction of a problem
• Methodology explanation and choice. 
• Statistical research itself is in the main part (Body Part). 
• Samples deviations and variables. 
• Lastly, statistical interpretation is your last part (conclusion). 

Note:   Always include the sources from which you obtained the statistics data.

Top 3 Tips to Choose Good Statistics Research Topics

It can be quite easy for some students to pick a good statistics research topic without the help of an essay writer. But we know that it is not a common scenario for every student. That is why we will mention some of the best tips that will help you choose good statistics research topics for your next project. Either you are in a hurry or have enough time to explore. These tips will help you in every scenario.

1. Narrow down your research topic

We all start with many topics as we are not sure about our specific interests or niche. The initial step to picking up a good research topic for college or school students is to narrow down the research topic.

For this, you need to categorize the matter first. And then pick a specific category as per your interest. After that, brainstorm about the topic’s content and how you can make the points catchy, focused, directional, clear, and specific. 

2. Choose a topic that gives you curiosity

After categorizing the statistics research topics, it is time to pick one from the category. Don’t pick the most common topic because it will not help your grades and knowledge. Instead of it, please choose the best one, in which you have little information, or you are more likely to explore it.

In a statistics research paper, you always can explore something beyond your studies. By doing this, you will be more energetic to work on this project. And you will also feel glad to get them lots of information you were willing to have but didn’t get because of any reasons.

It will also make your professor happy to see your work. Ultimately it will affect your grades with a positive attitude.

3. Choose a manageable topic

Now you have decided on the topic, but you need to make sure that your research topic should be manageable. You will have limited time and resources to complete your project if you pick one of the deep statistics research topics with massive information.

Then you will struggle at the last moment and most probably not going to finish your project on time. Therefore, spend enough time exploring the topic and have a good idea about the time duration and resources you will use for the project. 

Statistics research topics are massive in numbers. Because statistics operations can be performed on anything from our psychology to our fitness. Therefore there are lots more statistics research topics to explore. But if you are not finding it challenging, then you can take the help of our statistics experts . They will help you to pick the most interesting and trending statistics research topics for your projects. 

With this help, you can also save your precious time to invest it in something else. You can also come up with a plethora of topics of your choice and we will help you to pick the best one among them. Apart from that, if you are working on a project and you are not sure whether that is the topic that excites you to work on it or not. Then we can also help you to clear all your doubts on the statistics research topic. 

Frequently Asked Questions

Q1. what are some good topics for the statistics project.

Have a look at some good topics for statistics projects:- 1. Research the average height and physics of basketball players. 2. Birth and death rate in a specific city or country. 3. Study on the obesity rate of children and adults in the USA. 4. The growth rate of China in the past few years 5. Major causes of injury in Football

Q2. What are the topics in statistics?

Statistics has lots of topics. It is hard to cover all of them in a short answer. But here are the major ones: conditional probability, variance, random variable, probability distributions, common discrete, and many more. 

Q3. What are the top 10 research topics?

Here are the top 10 research topics that you can try in 2023:

1. Plant Science 2. Mental health 3. Nutritional Immunology 4. Mood disorders 5. Aging brains 6. Infectious disease 7. Music therapy 8. Political misinformation 9. Canine Connection 10. Sustainable agriculture

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• Master's Thesis

As an integral component of the Master of Science in Statistical Science program, you can submit and defend a Master's Thesis. Your Master's Committee administers this oral examination. If you choose to defend a thesis, it is advisable to commence your research early, ideally during your second semester or the summer following your first year in the program. It's essential to allocate sufficient time for the thesis writing process. Your thesis advisor, who also serves as the committee chair, must approve both your thesis title and proposal. The final thesis work necessitates approval from all committee members and must adhere to the  Master's thesis requirements  set forth by the Duke University Graduate School.

Master’s BEST Award 

Each second-year Duke Master’s of Statistical Science (MSS) student defending their MSS thesis may be eligible for the  Master’s BEST Award . The Statistical Science faculty BEST Award Committee selects the awardee based on the submitted thesis of MSS thesis students, and the award is presented at the departmental graduation ceremony. 

Thesis Proposal

All second-year students choosing to do a thesis must submit a proposal (not more than two pages) approved by their thesis advisor to the Master's Director via Qualtrics by November 10th.  The thesis proposal should include a title,  the thesis advisor, committee members, and a description of your work. The description must introduce the research topic, outline its main objectives, and emphasize the significance of the research and its implications while identifying gaps in existing statistical literature. In addition, it can include some of the preliminary results. 

Committee members

MSS Students will have a thesis committee, which includes three faculty members - two must be departmental primary faculty, and the third could be from an external department in an applied area of the student’s interest, which must be a  Term Graduate Faculty through the Graduate School or have a secondary appointment with the Department of Statistical Science. All Committee members must be familiar with the Student’s work.  The department coordinates Committee approval. The thesis defense committee must be approved at least 30 days before the defense date.

Thesis Timeline and  Departmental Process:

Before defense:.

Intent to Graduate: Students must file an Intent to Graduate in ACES, specifying "Thesis Defense" during the application. For graduation deadlines, please refer to https://gradschool.duke.edu/academics/preparing-graduate .

Scheduling Thesis Defense: The student collaborates with the committee to set the date and time for the defense and communicates this information to the department, along with the thesis title. The defense must be scheduled during regular class sessions. Be sure to review the thesis defense and submission deadlines at https://gradschool.duke.edu/academics/theses-and-dissertations/

Room Reservations: The department arranges room reservations and sends confirmation details to the student, who informs committee members of the location.

Defense Announcement: The department prepares a defense announcement, providing a copy to the student and chair. After approval, it is signed by the Master's Director and submitted to the Graduate School. Copies are also posted on department bulletin boards.

Initial Thesis Submission: Two weeks before the defense, the student submits the initial thesis to the committee and the Graduate School. Detailed thesis formatting guidelines can be found at https://gradschool.duke.edu/academics/theses-and-dissertations.

Advisor Notification: The student requests that the advisor email [email protected] , confirming the candidate's readiness for defense. This step should be completed before the exam card appointment.

Format Check Appointment: One week before the defense, the Graduate School contacts the student to schedule a format check appointment. Upon approval, the Graduate School provides the Student Master’s Exam Card, which enables the student to send a revised thesis copy to committee members.

MSS Annual Report Form: The department provides the student with the MSS Annual Report Form to be presented at the defense.

Post Defense:

Communication of Defense Outcome: The committee chair conveys the defense results to the student, including any necessary follow-up actions in case of an unsuccessful defense.

In Case of Failure: If a student does not pass the thesis defense, the committee's decision to fail the student must be accompanied by explicit and clear comments from the chair, specifying deficiencies and areas that require attention for improvement.

Documentation: The student should ensure that the committee signs the Title Page, Abstract Page, and Exam Card.

Annual Report Form: The committee chair completes the Annual Report Form.

Master's Director Approval: The Master's director must provide their approval by signing the Exam Card.

Form Submission: Lastly, the committee chair is responsible for returning all completed and signed forms to the Department.

Final Thesis Submission: The student must meet the Graduate School requirement by submitting the final version of their Thesis to the Graduate School via ProQuest before the specified deadline. For detailed information, visit https://gradschool.duke.edu/academics/preparinggraduate .

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What do senior theses in Statistics look like?

This is a brief overview of thesis writing; for more information, please see our  complete guide here . Senior theses in Statistics cover a wide range of topics, across the spectrum from applied to theoretical. Typically, senior theses are expected to have one of the following three flavors:                                                                                                            

1. Novel statistical theory or methodology, supported by extensive mathematical and/or simulation results, along with a clear account of how the research extends or relates to previous related work.

2. An analysis of a complex data set that advances understanding in a related field, such as public health, economics, government, or genetics. Such a thesis may rely entirely on existing methods, but should give useful results and insights into an interesting applied problem.                                                                                 

3. An analysis of a complex data set in which new methods or modifications of published methods are required. While the thesis does not necessarily contain an extensive mathematical study of the new methods, it should contain strong plausibility arguments or simulations supporting the use of the new methods.

A good thesis is clear, readable, and well-motivated, justifying the applicability of the methods used rather than, for example, mechanically running regressions without discussing the assumptions (and whether they are plausible), performing diagnostics, and checking whether the conclusions make sense. 

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Masters Theses

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Home > Statistics > Dissertations, Theses, and Student Work

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Department of statistics: dissertations, theses, and student work.

Examining the Effect of Word Embeddings and Preprocessing Methods on Fake News Detection , Jessica Hauschild

Exploring Experimental Design and Multivariate Analysis Techniques for Evaluating Community Structure of Bacteria in Microbiome Data , Kelsey Karnik

Human Perception of Exponentially Increasing Data Displayed on a Log Scale Evaluated Through Experimental Graphics Tasks , Emily Robinson

Factors Influencing Student Outcomes in a Large, Online Simulation-Based Introductory Statistics Course , Ella M. Burnham

Comparing Machine Learning Techniques with State-of-the-Art Parametric Prediction Models for Predicting Soybean Traits , Susweta Ray

Using Stability to Select a Shrinkage Method , Dean Dustin

Statistical Methodology to Establish a Benchmark for Evaluating Antimicrobial Resistance Genes through Real Time PCR assay , Enakshy Dutta

Group Testing Identification: Objective Functions, Implementation, and Multiplex Assays , Brianna D. Hitt

Community Impact on the Home Advantage within NCAA Men's Basketball , Erin O'Donnell

Optimal Design for a Causal Structure , Zaher Kmail

Role of Misclassification Estimates in Estimating Disease Prevalence and a Non-Linear Approach to Study Synchrony Using Heart Rate Variability in Chickens , Dola Pathak

A Characterization of a Value Added Model and a New Multi-Stage Model For Estimating Teacher Effects Within Small School Systems , Julie M. Garai

Methods to Account for Breed Composition in a Bayesian GWAS Method which Utilizes Haplotype Clusters , Danielle F. Wilson-Wells

Beta-Binomial Kriging: A New Approach to Modeling Spatially Correlated Proportions , Aimee Schwab

Simulations of a New Response-Adaptive Biased Coin Design , Aleksandra Stein

MODELING THE DYNAMIC PROCESSES OF CHALLENGE AND RECOVERY (STRESS AND STRAIN) OVER TIME , Fan Yang

A New Approach to Modeling Multivariate Time Series on Multiple Temporal Scales , Tucker Zeleny

A Reduced Bias Method of Estimating Variance Components in Generalized Linear Mixed Models , Elizabeth A. Claassen

NEW STATISTICAL METHODS FOR ANALYSIS OF HISTORICAL DATA FROM WILDLIFE POPULATIONS , Trevor Hefley

Informative Retesting for Hierarchical Group Testing , Michael S. Black

A Test for Detecting Changes in Closed Networks Based on the Number of Communications Between Nodes , Christopher S. Wichman

GROUP TESTING REGRESSION MODELS , Boan Zhang

A Comparison of Spatial Prediction Techniques Using Both Hard and Soft Data , Megan L. Liedtke Tesar

STUDYING THE HANDLING OF HEAT STRESSED CATTLE USING THE ADDITIVE BI-LOGISTIC MODEL TO FIT BODY TEMPERATURE , Fan Yang

Estimating Teacher Effects Using Value-Added Models , Jennifer L. Green

SEQUENCE COMPARISON AND STOCHASTIC MODEL BASED ON MULTI-ORDER MARKOV MODELS , Xiang Fang

DETECTING DIFFERENTIALLY EXPRESSED GENES WHILE CONTROLLING THE FALSE DISCOVERY RATE FOR MICROARRAY DATA , SHUO JIAO

Spatial Clustering Using the Likelihood Function , April Kerby

FULLY EXPONENTIAL LAPLACE APPROXIMATION EM ALGORITHM FOR NONLINEAR MIXED EFFECTS MODELS , Meijian Zhou

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2019/2020 PhD Recipients Thesis Titles

2018-2019 PhD Thesis Titles    2017-2018 PhD Thesis Titles    2016-2017 PhD Thesis Titles   

2015-2016 PhD Thesis Titles    2013-2014 PhD Thesis Titles    2012-2013 PhD Thesis Titles

2011-2012 PhD Thesis Titles    2010-2011 PhD Thesis Titles

Edward Ayoub, B.S. Long Island University-Brooklyn Campus, M.S. University of Rochester; Pharmacology

Thesis: The Role of EVI1 in Hematopoietic Stem Cell Differentiation and Leukemia

Advisor: Dr. Archibald Perkins

Elizabeth Belcher, B.S. University of Pittsburgh; Translational Biomedical Science

Thesis: Cranial irradiation leads to acute and long-lasting deficits in proliferating cell populations in the adult brain

Advisor: Dr. Kerry O’Banion and Dr. John A. Olschowka

Richard Bell, B.S. University of North Carolina Greensboro, M.S. University of Rochester; Pathology

Thesis: Elucidating the Role of the Synovial Lymphatic Systems in Rheumatoid Arthritis

Advisor: Dr. Edward Schwarz

Michael-John Beltejar, B.A. University of California-Berkeley, B.S. SUNY College at Brockport; Genetics

Thesis: Understanding the Genetic Basis for Bone-Matrix Quality

Advisor: Dr. Cheryl Ackert-Bicknell

Chen Braun, B.S. Braude College, M.S. University of Rochester; Pharmacology

Thesis: Chronic PKCβII activation inhibits IKs channel membrane localization via phosphatidylinositol 4-phosphate: Implications for Long-QT1 treatment

Advisor: Dr. Coeli Lopes

Catherine Burke, B.S. SUNY Geneseo, M.S. University of Rochester; Microbiology and Immunology

Thesis: Developmental activation of the aryl hydrocarbon receptor results in durable changes to the responsive capacity and epigenetic landscape of CD4+ T cells

Advisor: Dr. Paige Lawrence

Xi Cen, B.S. Xiamen University, M.A. San Franscisco State University, M.S. Xiamen University; Health Services Research and Policy

Thesis: The Effect of Medicare Bundled Payments on Racial/Ethnic Disparities in Hospital Readmissions

Advisor: Dr. Yue Li

Meemanage De Zoysa, B.S. University of Colombo, M.S. University of Rochester; Biochemistry

Thesis: The Mechanism and Function of RNA-Guided RNA Pseudouridylation

Advisor: Dr. Yi-Tao Yu

Dawling Dionisio-Santos, B.S. University of Puerto Rico-Mayaguez, M.D. University of Rochester, M.S. University of Rochester; Neurobiology and Anatomy

Thesis: Ameliorating Alzheimer’s Disease tau pathology through immunomodulation: A novel role for interleukin 4 and glatiramer acetate

Advisor: Dr. Kerry O’Banion

Madison Doolittle, B.S. Rochester Institute of Technology, M.S. University of Rochester; Pathology

Thesis: Dissecting the Genetic Influences on Osteoporosis Reveals Zbtb40 as a Novel Regulator of Osteoblast Function

Debapratim Dutta, B.S. Heritage Institute of Technology, M.S. University of Rochester; Biophysics

Thesis: Relating Riboswitch Structure to Gene Regulation in Live Cells

Advisor: Dr. Joseph Wedekind

Lacey Favazzo, B.S. University of Wyoming, M.S. University of Rochester; Microbiology and Immunology

Thesis: The nor-nos axis contributes to virulence and metabolism in Staphylococcus aureus

Advisor: Dr. Steven Gill

Isaac Fisher, B.S. Slippery Rock University of Pennsylvania, M.S. University of Rochester; Pharmacology

Thesis: Understanding Molecular Mechanisms of G-protein subunit βγ Activation of Downstream Effectors

Advisor: Dr. Alan Smrcka and Dr. David Yule

Sierra Fox, B.S. Syracuse University, M.S. University of Rochester; Biochemistry

Thesis: Investigating the Function of Hyperacetylated Chromatin Domain-Forming Enhancers

Advisor: Dr. Michael Bulger

Scott Friedland, B.S. University of Rochester, M.S. University of Rochester; Genetics

Thesis: Arid1a, a subunit of the SWI/SNF chromatin remodeling complex, is a barrier to KrasG12D-driven tumorigenesis.

Advisor: Dr. Aram Hezel

Dalia Ghoneim, B.S. Rochester Institute of Technology, M.S. University of Rochester; Genetics

Thesis: New functions for RNA elucidated by evolutionary conservation

Advisor: Dr. David Mathews

Christopher Goodwin, B.S. Ursinus College, M.S. University of Rochester; Biochemistry

Thesis: The intersection of Human Cytomegalovirus infection and innate immune signaling

Advisor: Dr. Joshua Munger

Kelly Hanson, B.S. York College of Pennsylvania, M.S. University of Rochester; Toxicology

Thesis: Contribution of Toll-like receptor 4 signaling to the pathogenesis of pulmonary fibrosis: Origins of fibroblast apoptosis resistance

Advisor: Dr. Jacob Finkelstein

Zachary Hilt, B.S. Saint John Fisher College; Translational Biomedical Science

Thesis: Platelet Derived Beta-2 Microglobulin and Transforming Growth Factor Beta Polarize Monocytes Towards Divergent Phenotypes

Advisor: Dr. Craig Morrell

Robert Hoff, B.S. SUNY at Stony Brook, M.S. University of Rochester; Pathology

Thesis: Signal dependent activation of CnC, the Drosophila homolog of mammalian Nrf1 and Nrf2 is repressed by age and neurodegenerative factors

Advisor: Dr. Dirk Bohmann

Jessica Hogestyn, B.S. University of Rochester, M.S. University of Rochester; Neuroscience

Thesis: Human herpesvirus 6A latency gene U94A impairs motility and maturation in glial cells and neurons:  Implications for neurodegenerative disease

Advisor: Dr. Margot Mayer-Proschel

Katrina Jew, B.S. University of California Davis, M.S. University of Rochester; Toxicology

Thesis: Effects of Ambient Ultrafine Particulate Matter Air Pollution on Learning and Memory in an Alzheimer’s Disease Mouse Model

Advisor: Dr. Alison Elder

Wan-Jung Lai, B.S. National Taiwan University, M.S. National Taiwan University, M.S. University of Rochester; Biochemistry

Thesis: The Role of the Intrinsic Closeness of mRNA Ends in Translation

Advisor: Dr. Dmitri Ermolenko

Jinbo Li, B.S. Shanghai Jiaotong University, M.S. Nanjing Medical University, M.S. University of Rochester; Pathology

Thesis: TGFB-Induced Degradation of TNF Receptor-Associated Factor 3 (TRAF3) in Mesenchymal Progenitor Cells Causes Age-Related Osteoporosis

Advisor: Dr. Brendan Boyce

Xi Lin, B.S. Central South University, M.S. University of Rochester; Pathology

Thesis: The Effects of Macrophages on the Synovial Lymphatic System in Mice with Post-traumatic Osteoarthritis

Advisor: Dr. Lianping Xing

Shannon Loelius, B.S. Rutgers University, M.S. University of Rochester; Microbiology and Immunology

Thesis: Human Platelet Dysregulation by Antiretroviral Drugs and Cigarette Smoke In Vitro

Xiang Lu, B.S. Shanghai University of Finance and Economics, M.A. University of Rochester; Statistics

Thesis: Model Selection and Variable Selection for Mixtures of Factor Analyzers

Advisor: Dr. Tanzy Love

Shiyang Ma, B.S. Sichuan University, M.A. University of Rochester; Statistics

Thesis: Methods for Improving Efficiency in Clinical Trials

Advisor: Dr. David Oakes

Hayley Martin, B.S. SUNY Geneseo; Epidemiology

Thesis: Assessing the Impact of Group Prenatal Care on Breastfeeding Behavior and Motivation

Advisor: Dr. Edwin van Wijngaarden

Robert Maynard, B.S. Saint John Fisher College, M.S. University of Rochester; Pathology

Thesis: Establishing the Functional Role of Cped1 in the Genetic Regulation of the Osteoblast

Molly McCann, B.S. SUNY Stoney Brook, M.S. University of Albany; Epidemiology

Thesis: Degree of Bystander-Patient Relationship and Prehospital and Emergency Department Care for Opiod Overdose

Advisor: Dr. Todd Jusko

Marhiah Montoya, B.S. Baylor University; Translational Biomedical Science

Thesis: A Translational Approach to Improve Clinical Outcomes of Invasive Fungal Infections through Disease Surveillance and Antifungal Drug Discovery

Advisor: Dr. Damian Krysan

Aimee Morris, B.A. University of Rochester, M.S. University of Rochester; Neuroscience

Thesis: Functional Brain Network Structure in Focal Embouchure Dystonia and Related Disorders

Advisor: Dr. Jonathan Mink

Emma Norris, B.S. Earlham College, M.S. University of Rochester; Pharmacology

Thesis: Development of acoustically-modified collagen-based biomaterials for regenerative medicine applications

Advisor: Dr. Denise Hocking

Marina Oktapodas, B.S. University of Buffalo, M.S. University of Buffalo; Epidemiology

Thesis: The Role of Environmental Lead Exposure on Influenza and Respiratory Syncytial Virus (RSV) Infection in Children Three Years Old and Younger

Brian Palmer, B.S. Saint Lawrence University, M.S. University of Rochester; Toxicology

Thesis: The dermal toxicity and immunomodulatory effects of topically applied engineered nanomaterials in a model of allergic contact dermatitis

Advisor: Dr. Lisa DeLouise

José Pérez-Ramos, B.S. Universidad de Puerto Rico, Recinto de Rio Piedras, M.P.H University of Rochester; Translational Biomedical Science

Thesis: Information and Communications Technology (ICT) and the Generation of Collective Action in Health: A Mixed Methods mHealth Intervention in the Latin American and Caribbean Ecological Context

Advisor: Dr. Tim Dye

Christina Post, University of Massachusetts-Boston, M.S. University of Rochester; Toxicology

Thesis: Mechanisms of CD8+ T cell dysfunction caused by developmental activation of the aryl hydrocarbon receptor (AHR)

Kun Hyoe Rhoo, B.S. SUNY Geneseo, M.S. University of Rochester; Microbiology and Immunology

Thesis: The roles of MHC ClassI-like and innate-like T cells in response to Mycobacterium marinum in Xenopus laevis

Advisor: Dr. Jacques Robert

Irene Rodriguez Sanchez, B.S. Francisco deVitoria University, M.S. Francisco deVitoria University, M.S. University of Rochester; Microbiology and Immunology

Thesis: An insight into Human Cytomegalovirus Mediated Metabolic Reprogramming

Elizabeth Saionz, B.A. University of Pennsylvania, M.S. University of Rochester; Translational Biomedical Science

Thesis: Time is Vision: Properties of Vision Early after Occipital Stroke and Capacity for Recovery

Advisor: Dr. Krystel Huxlin

Letty Salas Estrada, B.S. Universidad Autonoma de San Luis Potosi, M.S. Universidad Autonoma de San Luis Potosi, M.S. University of Rochester; Biophysics

Thesis: Study of rhodopsin's conformational equilibrium and activation dynamics using multi-scale molecular dynamics simulations

Advisor: Dr. Alan Grossfield

Brianna Shares, B.S. SUNY Geneseo, M.S. University of Rochester; Pathology

Thesis: The Role of Mitochondria in Bone Marrow Stromal Cells Osteogenic Function

Advisor: Dr. Roman Eliseev

Valeriia Sherina, B.S. Donetsk National Technical University, M.S. Donetsk National Technical University, M.S. Georgia Southern University, M.A. University of Rochester ; Statistics

Thesis: Statistical Methods for qPCR Data Near the Limit of Detection

Advisors: Dr. Matthew McCall and Dr. Tanzy Love

Kenneth Sims, B.S. Lehigh University, M.S. Drexel University College of Medicine; Translational Biomedical Science

Thesis: Enhancing pH-Responsive Nanoparticle Drug Delivery to Inhibit Oral Biofilm Formation

Advisor: Dr. Danielle Benoit

Andrew Smith, B.S. University of Rochester, M.S. University of Rochester; Microbiology and Immunology

Thesis: Rational Alterations to the Influenza A Polymerase Have Ramifications for Both Therapeutic Intervention and Pandemic Preparedness

Advisor: Dr. Stephen Dewhurst

Wei Song, B.S. Shanghai University of Finance and Economics, M.S. Shanghai University of Finance and Economics; Health Services Research and Policy

Thesis: Nursing Home Primary Care and Resident Outcomes: An Application of Social Network Analysis

Advisor: Dr. Orna Intrator

Rianne Stowell, B.S. Moravian College, M.S. University of Rochester; Neuroscience

Thesis: Noradrenergic modulation of microglial dynamics and synaptic plasticity

Advisor: Dr. Ania Majewska

Hao Sun, B.S. Southwestern University of Finance and Economics, M.A. University of Rochester; Statistics

Thesis: Statistical Methods for Treatment Evaluation with Application to Longitudinal Studies

Advisor: Dr. Brent Johnson

Manisha Taya, B.S. University of Delhi-India, M.S. Georgetown University, M.S. University of Rochester; Pharmacology

Thesis: Myeloid-Derived Suppressor Cells and Neutrophil Elastase Promote TSC2-null Tumor Growth

Advisor: Dr. Stephen Hammes

Alissa Trzeciak, B.S. McGill University, M.S. New York University; Microbiology and Immunology

Thesis: Early Detection and Chronic Management of Sepsis

Advisor: Dr. Minsoo Kim

Kevin Tylock, B.S. SUNY Brockport, M.S. University of Rochester; Pharmacology

Thesis: Biophysical and Molecular Mechanisms for QRS- and QTc-Interval Prolongation in Mice with Cardiac Expression of Expanded CUG repeat RNA

Advisor: Dr. Doug Anderson

Bokai Wang, B.S. Nankai University, M.S. Bowling Green State University, M.A. University of Rochester; Statistics

Thesis: A Novel Variable Selection Procedure in Biomedical Research

Advisor: Dr. Changyong Feng

Jiyu Wang, B.S. Nankai University, M.S. University of Rochester; Biochemistry

Thesis: Reading frame maintenance at translation stalls in yeast involves eukaryotic specific mechanisms

Advisor: Dr. Elizabeth Grayhack

Meng Wang, B.S. Peking University Health Science Center, M.S. Peking University Health Science Center; Epidemiology

Thesis: The Influence of Implantable Cardioverter Defibrillators on Cardiac and Mental Health in Patients with Long QT Syndrome

Advisor: Dr. David Rich

Rachel Warren, B.S. Indiana University, M.S. University of Rochester; Microbiology and Immunology

Thesis: Ataxia-telangiectasia mutated is required for response to influenza A virus infection

Advisor: Dr. Michael O’Reilly and Dr. Stephen Dewhurst

Emily Wexler, B.S. The College at Brockport, M.S. University of Rochester; Genetics

Thesis: Mechanisms by which feeding state and sex are integrated to regulate chemosensory plasticity in C. elegans

Advisor: Dr. Douglas Portman

Emily Wu, B.S. University of Michigan, Ann Arbor, M.S. University of Rochester; Microbiology and Immunology

Thesis: Uncovering the Role of TNF-alpha in the Genesis of Inflammatory Interstitial Lung Disease in the TNF-Transgenic Mouse Model of Rheumatoid Arthritis

Huiwen Xu, B.S. China University of Political Science and Law, M.S. Beijing Normal University; Health Services Research and Policy

Thesis: Rural-Urban Disparities in Risk-adjusted Rates of Emergency Department Visits of Nursing Homes: Roles of Facility Characteristics, Market Factors, and State Policies

Hong Zhu, B.S. Nankai University, M.S. University of Rochester; Biochemistry

Thesis: Use of Yeast Surface Display to Identify Variants of HIV Envelope Glycoprotein with Enhanced Affinity for Precursors to Broadly Neutralizing Antibodies

Advisor: Dr. Mark Dumont

The Savvy Scientist

Experiences of a London PhD student and beyond

Thesis Title: Examples and Suggestions from a PhD Grad

When you’re faced with writing up a thesis, choosing a title can often fall to the bottom of the priority list. After all, it’s only a few words. How hard can it be?!

In the grand scheme of things I agree that picking your thesis title shouldn’t warrant that much thought, however my own choice is one of the few regrets I have from my PhD . I therefore think there is value in spending some time considering the options available.

In this post I’ll guide you through how to write your own thesis title and share real-world examples. Although my focus is on the PhD thesis, I’ve also included plenty of thesis title examples for bachelor’s and master’s research projects too.

Hopefully by the end of the post you’ll feel ready to start crafting your own!

Why your thesis title is at least somewhat important

It sounds obvious but your thesis title is the first, and often only, interaction people will have with your thesis. For instance, hiring managers for jobs that you may wish to apply for in the future. Therefore you want to give a good sense of what your research involved from the title.

Many people will list the title of their thesis on their CV, at least for a while after graduating. All of the example titles I’ve shared below came from my repository of academic CVs . I’d say roughly 30% of all the academics on that page list their thesis title, which includes academics all the way up to full professor.

Your thesis title could therefore feature on your CV for your whole career, so it is probably worth a bit of thought!

My suggestions for choosing a good thesis title

• Make it descriptive of the research so it’s immediately obvious what it is about! Most universities will publish student theses online ( here’s mine! ) and they’re indexed so can be found via Google Scholar etc. Therefore give your thesis a descriptive title so that interested researchers can find it in the future.
• Don’t get lost in the detail . You want a descriptive title but avoid overly lengthy descriptions of experiments. Unless a certain analytical technique etc was central to your research, I’d suggest by default* to avoid having it in your title. Including certain techniques will make your title, and therefore research, look overly dated, which isn’t ideal for potential job applications after you graduate.
• The title should tie together the chapters of your thesis. A well-phrased title can do a good job of summarising the overall story of your thesis. Think about each of your research chapters and ensure that the title makes sense for each of them.
• Be strategic . Certain parts of your work you want to emphasise? Consider making them more prominent in your title. For instance, if you know you want to pivot to a slightly different research area or career path after your PhD, there may be alternative phrasings which describe your work just as well but could be better understood by those in the field you’re moving into. I utilised this a bit in my own title which we’ll come onto shortly.
• Do your own thing. Having just laid out some suggestions, do make sure you’re personally happy with the title. You get a lot of freedom to choose your title, so use it however you fancy. For example, I’ve known people to use puns in their title, so if that’s what you’re into don’t feel overly constrained.

*This doesn’t always hold true and certainly don’t take my advice if 1) listing something in your title could be a strategic move 2) you love the technique so much that you’re desperate to include it!

Thesis title examples

To help give you some ideas, here are some example thesis titles from Bachelors, Masters and PhD graduates. These all came from the academic CVs listed in my repository here .

Bachelor’s thesis title examples

Hysteresis and Avalanches Paul Jager , 2014 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

The bioenergetics of a marine ciliate, Mesodinium rubrum Holly Moeller , 2008 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Functional syntactic analysis of prepositional and causal constructions for a grammatical parser of Russian Ekaterina Kochmar , 2008 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

Master’s thesis title examples

Creation of an autonomous impulse response measurement system for rooms and transducers with different methods Guy-Bart Stan , 2000 – Bioengineering – Imperial Professor –  direct link to Guy-Bart’s bioengineering academic CV

Segmentation of Nerve Bundles and Ganglia in Spine MRI using Particle Filters Adrian Vasile Dalca , 2012 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

The detection of oil under ice by remote mode conversion of ultrasound Eric Yeatman , 1986 – Electronics – Imperial Professor and Head of Department –  direct link to Eric’s electronics academic CV

Ensemble-Based Learning for Morphological Analysis of German Ekaterina Kochmar , 2010 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

VARiD: A Variation Detection Framework for Color-Space and Letter-Space Platforms Adrian Vasile Dalca , 2010 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

Identification of a Writer’s Native Language by Error Analysis Ekaterina Kochmar , 2011 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

On the economic optimality of marine reserves when fishing damages habitat Holly Moeller , 2010 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Sensitivity Studies for the Time-Dependent CP Violation Measurement in B 0 → K S K S K S at the Belle II-Experiment Paul Jager , 2016 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

PhD thesis title examples

Spatio-temporal analysis of three-dimensional real-time ultrasound for quantification of ventricular function Esla Angelini  – Medicine – Imperial Senior Data Scientist –  direct link to Elsa’s medicine academic CV

The role and maintenance of diversity in a multi-partner mutualism: Trees and Ectomycorrhizal Fungi Holly Moeller , 2015 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Bayesian Gaussian processes for sequential prediction, optimisation and quadrature Michael Osborne , 2010 – Machine Learning – Oxford Full Professor –  direct link to Michael’s machine learning academic CV

Global analysis and synthesis of oscillations: a dissipativity approach Guy-Bart Stan , 2005 – Bioengineering – Imperial Professor –  direct link to Guy-Bart’s bioengineering academic CV

Coarse-grained modelling of DNA and DNA self-assembly Thomas Ouldridge , 2011– Bioengineering – Imperial College London Senior Lecturer / Associate Prof –  direct link to Thomas’ bioengineering academic CV

4D tomographic image reconstruction and parametric maps estimation: a model-based strategy for algorithm design using Bayesian inference in Probabilistic Graphical Models (PGM) Michele Scipioni , 2018– Biomedical Engineer – Harvard Postdoctoral Research Fellow –  direct link to Michele’s biomedical engineer academic CV

Error Detection in Content Word Combinations Ekaterina Kochmar , 2016 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

Genetic, Clinical and Population Priors for Brain Images Adrian Vasile Dalca , 2016 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

Challenges and Opportunities of End-to-End Learning in Medical Image Classification Paul Jager , 2020 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

K 2 NiF 4  materials as cathodes for intermediate temperature solid oxide fuel cells Ainara Aguadero , 2006 – Materials Science – Imperial Reader –  direct link to Ainara’s materials science academic CV

Applications of surface plasmons – microscopy and spatial light modulation Eric Yeatman , 1989 – Electronics – Imperial Professor and Head of Department –  direct link to Eric’s electronics academic CV

Geometric Algorithms for Objects in Motion Sorelle Friedler , 2010 – Computer science – Haverford College Associate Professor –  direct link to Sorelle’s computer science academic CV .

Geometrical models, constraints design, information extraction for pathological and healthy medical image Esla Angelini  – Medicine – Imperial Senior Data Scientist –  direct link to Elsa’s medicine academic CV

Why I regret my own choice of PhD thesis title

I should say from the outset that I assembled my thesis in quite a short space of time compared to most people. So I didn’t really spend particularly long on any one section, including the title.

However, my main supervisor even spelled out for me that once the title was submitted to the university it would be permanent. In other words: think wisely about your title.

What I started with

Initially I drafted the title as something like: Three dimensional correlative imaging for cartilage regeneration . Which I thought was nice, catchy and descriptive.

I decided to go for “correlative imaging” because, not only did it describe the experiments well, but it also sounded kind of technical and fitting of a potential pivot into AI. I’m pleased with that bit of the title.

What I ended up with

Before submitting the title to the university (required ahead of the viva), I asked my supervisors for their thoughts.

One of my well intentioned supervisors suggested that, given that my project didn’t involve verifying regenerative quality, I probably shouldn’t state cartilage regeneration . Instead, they suggested, I should state what I was experimenting on (the materials) rather than the overall goal of the research (aid cartilage regeneration efforts).

With this advice I dialled back my choice of wording and the thesis title I went with was:

Three dimensional correlative imaging for measurement of strain in cartilage and cartilage replacement materials

Reading it back now I’m reminder about how less I like it than my initial idea!

I put up basically no resistance to the supervisor’s choice, even though the title sounds so much more boring in my opinion. I just didn’t think much of it at the time. Furthermore, most of my PhD was actually in a technique which is four dimensional (looking at a series of 3D scans over time, hence 4D) which would have sounded way more sciency and fitting of a PhD.

What I wish I’d gone with

If I had the choice again, I’d have gone with:

Four-dimensional correlative imaging for cartilage regeneration

Which, would you believe it, is exactly what it states on my CV…

Does the thesis title really matter?

In all honesty, your choice of thesis title isn’t that important. If you come to regret it, as I do, it’s not the end of the world. There are much more important things in life to worry about.

If you decide at a later stage that you don’t like it you can always describe it in a way that you prefer. For instance, in my CV I describe my PhD as I’d have liked the title to be. I make no claim that it’s actually the title so consider it a bit of creative license.

Given that as your career progresses you may not even refer back to your thesis much, it’s really not worth stressing over. However, if you’re yet to finalise your thesis title I do still think it is worth a bit of thought and hopefully this article has provided some insights into how to choose a good thesis title.

My advice for developing a thesis title

• Draft the title early. Drafting it early can help give clarity for the overall message of your research. For instance, while you’re assembling the rest of your thesis you can check that the title encompasses the research chapters you’re included, and likewise that the research experiments you’re including fall within what the title describes. Drafting it early also gives more time you to think it over. As with everything: having a first draft is really important to iterate on.
• Look at some example titles . Such as those featured above!
• If you’re not sure about your title, ask a few other people what they think . But remember that you have the final say!

I hope this post has been useful for those of you are finalising your thesis and need to decide on a thesis title. If you’ve enjoyed this article and would like to hear about future content (and gain access to my free resource library!) you can subscribe for free here:

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Home > Sciences > Mathematics & Statistics > ETDs

Mathematics & Statistics Theses & Dissertations

Theses and dissertations published by graduate students in the Department of Mathematics and Statistics, College of Sciences, Old Dominion University, since Fall 2016 are available in this collection. Backfiles of all dissertations (and some theses) have also been added.

In late Fall 2023 or Spring 2024, all theses will be digitized and available here. In the meantime, consult the Library Catalog to find older items in print.

Theses/Dissertations from 2023 2023

Dissertation: Inference for Multiple Utility in Time-Dependent Choice Pairs Under Copula-Based Models , Sasanka Adikari

Dissertation: Copula Based Models for Bivariate Zero-Inflated Count Time Series Data , Dimuthu Fernando

Theses/Dissertations from 2022 2022

Dissertation: A Direct Method for Modeling and Simulations of Elliptic and Parabolic Interface Problems , Kumudu Janani Gamage

Dissertation: Statistical Methods for Meta-Analysis in Large-Scale Genomic Experiments , Wimarsha Thathsarani Jayanetti

Dissertation: Inexact Fixed-Point Proximity Algorithms for Nonsmooth Convex Optimization , Jin Ren

Dissertation: Kinetic Simulations of Active Nematic Polymers in Channel Flow , Lacey Savoie Schenk

Theses/Dissertations from 2021 2021

Dissertation: Electrohydrodynamic Simulations of Capsule Deformation Using a Dual Time-Stepping Lattice Boltzmann Scheme , Charles Leland Armstrong

Dissertation: Finite Difference Schemes for Integral Equations with Minimal Regularity Requirements , Wesley Cameron Davis

Dissertation: On the p -Inner Functions of ℓ p A , James G. Dragas

Dissertation: A Copula Model Approach to Identify the Differential Gene Expression , Prasansha Liyanaarachchi

Dissertation: High-Order Positivity-Preserving L 2 -Stable Spectral Collocation Schemes for the 3-D Compressible Navier-Stokes Equations , Johnathon Keith Upperman

Theses/Dissertations from 2020 2020

Dissertation: Inference and Estimation in Change Point Models for Censored Data , Kristine Gierz

Dissertation: D-Vine Pair-Copula Models for Longitudinal Binary Data , Huihui Lin

Dissertation: Investigating the Feasibility and Stability for Modeling Acoustic Wave Scattering Using a Time-Domain Boundary Integral Equation with Impedance Boundary Condition , Michelle E. Rodio

Theses/Dissertations from 2019 2019

Dissertation: Copula-Based Zero-Inflated Count Time Series Models , Mohammed Sulaiman Alqawba

Dissertation: Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes , Jennifer L. Matthews

Dissertation: Electrohydrodynamic Simulations of the Deformation of Liquid-Filled Capsules , Pai Song

Theses/Dissertations from 2018 2018

Dissertation: Extended Poisson Models for Count Data With Inflated Frequencies , Monika Arora

Dissertation: Approximation of Quantiles of Rank Test Statistics Using Almost Sure Limit Theorems , Mark Ledbetter

Theses/Dissertations from 2017 2017

Dissertation: A Partitioned Approach for Computing Fluid-Structure Interaction, With Application to Tumor Modeling and Simulation , Asim Timalsina

Dissertation: Methods for Analyzing Attribute-Level Best-Worst Discrete Choice Experiments , Amanda Faye Working

Theses/Dissertations from 2016 2016

Dissertation: Analysis off Dependent Discrete Choices Using Gaussian Copula , Arjun Poddar

Theses/Dissertations from 2015 2015

Dissertation: Wavelet Collocation Method for Hammerstein Integral Equations of High Dimension , Xingwang Chen

Dissertation: Modeling and Simulation of Molecular Couette Flows and Related Flows , Wei Li

Dissertation: Supervised Classification Using Copula and Mixture Copula , Sumen Sen

Dissertation: Zero-Inflated Models to Identify Transcription Factor Binding Sites in ChIP-seq Experiments , Sameera Dhananjaya Viswakula

Theses/Dissertations from 2014 2014

Dissertation: Modeling and Simulation of Shape Changes of Red Blood Cells in Shear Flow , John Gounley

Dissertation: Computational Solutions of the Forward and Adjoint Euler Equations with Application to Duct Aeroacoustics , Ibrahim Kocaogul

Dissertation: Ray- and Wave-Theoretic Approach to Electromagnetic Scattering from Radially Inhomogeneous Spheres and Cylinders , Michael A. Pohrivchak

Dissertation: Analyzing Cholera Dynamics in Homogeneous and Heterogeneous Environments , Drew Posny

Dissertation: Bivariate Doubly Inflated Poisson and Related Regression Models , Pooja Sengupta

Theses/Dissertations from 2013 2013

Dissertation: Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering , Rajan Lamichhane

Dissertation: Optimal Control Modeling and Simulation, with Application to Cholera Dynamics , Chairat Modnak

Dissertation: Analysis of Continuous Longitudinal Data with ARMA(1, 1) and Antedependence Correlation Structures , Sirisha Mushti

Dissertation: Topics in Electromagnetic, Acoustic, and Potential Scattering Theory , Umaporn Nuntaplook

Dissertation: Analysis and Simulation of Kinetic Model for Active Suspensions , Panon Phuworawong

Theses/Dissertations from 2012 2012

Dissertation: A Statistical Model to Determine Multiple Binding Sites of a Transcription Factor on DNA Using ChIP-seq Data , Rasika Jayatillake

Dissertation: Analysis of Discrete Choice Probit Models with Structured Correlation Matrices , Bhaskara Ravi

Theses/Dissertations from 2011 2011

Dissertation: An Extensible Mathematical Model of Glucose Metabolism , Caleb L. Adams

Dissertation: Perfectly Matched Layer Absorbing Boundary Conditions for the Discrete Velocity Boltzmann-BGK Equation , Elena Craig

Dissertation: A Three Dimensional Green's Function Solution Technique for the Transport of Heavy Ions in Laboratory and Space , Candice Rockell Gerstner

Dissertation: Modeling and Analysis of Repeated Ordinal Data Using Copula Based Likelihoods and Estimating Equation Methods , Raghavendra Rao Kurada

Dissertation: The Doubly Inflated Poisson and Related Regression Models , Manasi Sheth-Chandra

Dissertation: A Least Squares Closure Approximation for Liquid Crystalline Polymers , Traci Ann Sievenpiper

Theses/Dissertations from 2010 2010

Dissertation: A Solution of the Heat Equation with the Discontinuous Galerkin Method Using a Multilivel Calculation Method That Utilizes a Multiresolution Wavelet Basis , Robert Gregory Brown

Dissertation: Semi-Parametric Likelihood Functions for Bivariate Survival Data , S. H. Sathish Indika

Dissertation: Mathematical Models and Stability Analysis of Cholera Dynamics , Shu Liao

Dissertation: Canonical Correlation Analysis for Longitudinal Data , Raymond McCollum

Dissertation: Post-Processing Techniques and Wavelet Applications for Hammerstein Integral Equations , Khomsan Neamprem

Dissertation: A Study of Relationships Between Family Members Using Familial Correlations , Corinne Wilson

Dissertation: Analysis of Models for Longitudinal and Clustered Binary Data , Weiming Yang

Dissertation: Rao's Quadratic Entropy and Some New Applications , Yueqin Zhao

Theses/Dissertations from 2009 2009

Dissertation: An Adaptive Method for Calculating Blow-Up Solutions , Charles F. Touron

Theses/Dissertations from 2008 2008

Dissertation: DGM-FD: A Finite Difference Scheme Based on the Discontinuous Galerkin Method , Anne Marguerite Fernando

Dissertation: Improved Constrained Global Optimization for Estimating Molecular Structure From Atomic Distances , Terri Marie Grant

Dissertation: Analysis and Application of Perfectly Matched Layer Absorbing Boundary Conditions for Computational Aeroacoustics , Sarah Anne Parrish

Theses/Dissertations from 2007 2007

Dissertation: A Technique for Solving the Singular Integral Equations of Potential Theory , Brian George Burns

Dissertation: The Computation of Exact Green's Functions in Acoustic Analogy By a Spectral Collocation Boundary Element Method , Andrea D. Jones

Dissertation: Modeling and Efficient Estimation of Intra-Family Correlations , Roy Sabo

Dissertation: Three Methods for Solving the Low Energy Neutron Boltzmann Equation , Tony Charles Slaba

Dissertation: Canonical Correlation and Correspondence Analysis of Longitudinal Data , Jayesh Srivastava

Dissertation: On the Use of Quasi-Newton Methods for the Minimization of Convex Quadratic Splines , William Howard Thomas II

Theses/Dissertations from 2006 2006

Dissertation: Efficient Unbiased Estimating Equations for Analyzing Structured Correlation Matrices , Yihao Deng

Dissertation: Estimating Familial Correlations Using a Kotz Type Density , Amal Helu

Dissertation: An Implicit Level Set Model for Firespread , Pallop Huabsomboon

Dissertation: Hessian Matrix-Free Lagrange-Newton-Krylov-Schur-Schwarz Methods for Elliptic Inverse Problems , Widodo Samyono

Theses/Dissertations from 2005 2005

Dissertation: Statistical Analysis of Longitudinal and Multivariate Discrete Data , Deepak Mav

Dissertation: Principal Component Regression for Construction of Wing Weight Estimation Models , Humberto Rocha

Dissertation: The Straggling Green's Function Method for Ion Transport , Steven Andrew Walker

Theses/Dissertations from 2003 2003

Dissertation: A Forward-Backward Fluence Model for the Low-Energy Neutron Boltzmann Equation , Gary Alan Feldman

Dissertation: Multi-Symplectic Integrators for Nonlinear Wave Equations , Alvaro Lucas Islas

Dissertation: Superconvergence of Iterated Solutions for Linear and Nonlinear Integral Equations: Wavelet Applications , Boriboon Novaprateep

Dissertation: Analysis of Multivariate Data Using Kotz Type Distribution , Kusaya Plungpongpun

Dissertation: Estimation of Parameters in Replicated Time Series Regression Models , Genming Shi

Theses/Dissertations from 2002 2002

Dissertation: Nearly Balanced and Resolvable Block Designs , Brian Henry Reck

Theses/Dissertations from 2001 2001

Dissertation: Mathematical Models of Quiescent Solar Prominences , Iain McKaig

Theses/Dissertations from 2000 2000

Dissertation: Diffusion Problems in Wound Healing and a Scattering Approach to Immune System Interactions , Julia Suzanne Arnold

Theses/Dissertations from 1999 1999

Dissertation: A Numerical Solution of Low-Energy Neutron Boltzmann Equation , Martha Sue Clowdsley

Theses/Dissertations from 1998 1998

Dissertation: Mathematical Models of Tumors and Their Remote Metastases , Carryn Bellomo

Dissertation: Error-Correcting Codes Associated With Generalized Hadamard Matrices Over Groups , Iem H. Heng

Dissertation: Superconvergence in Iterated Solutions of Integral Equations , Peter A. Padilla

Dissertation: The Solution of Hypersingular Integral Equations With Applications in Acoustics and Fracture Mechanics , Richard S. St. John

Dissertation: Reaction-Diffusion Models of Cancer Dispersion , Kim Yvette Ward

Theses/Dissertations from 1997 1997

Dissertation: Analysis of Repeated Measures Data Under Circular Covariance , Andrew Montgomery Hartley

Dissertation: Reverse Engineering of Aircraft Wing Data Using a Partial Differential Equation Surface Model , Jacalyn M. Huband

Dissertation: High-Order Finite-Difference Schemes and Their Application to Computational Acoustics , Joe Leo Manthey

Dissertation: Mark-Recapture Creel Survey and Survival Models , Shampa Saha

Theses/Dissertations from 1996 1996

Dissertation: Exact Solutions for Orthogonal and Non-Orthogonal Magnetohydrodynamic Stagnation-Point Flow , Shahrooz Moosavizadeh

Dissertation: Linear Models for Multivariate Repeated Measures Data , Shantha S. Rao

Dissertation: Optimality and Construction of Designs with Generalized Group Divisible Structure , Sudesh K. Srivastav

Theses/Dissertations from 1995 1995

Dissertation: Thermal Ignition Analysis in the Laminar Boundary Layer Behind a Propagating Shock Front , Mushtaq Ahmed Khan

Dissertation: Studies of Mixing Processes in Gases and Effects on Combustion and Stability , Frank Paul Kozusko Jr.

Dissertation: Nozzle Flow with Vibrational Nonequilibrium , John Gary Landry

Dissertation: Mathematical Models of Chemotherapy , John Carl Panetta

Dissertation: Analysis of Growth Curves Under Some Special Covariance Structures , Shobha Prabhala

Dissertation: Elimination of Edge Effects Using Spline Wavelets Which Maintain a Uniform Two-Scale Relation , Sang Kyu Yang

Theses/Dissertations from 1994 1994

Dissertation: Some Sampling Designs and Estimation Problems , Hassan Lakkis

Dissertation: Invariant Manifolds of a Toy Climate Model , Michael Toner

Dissertation: Invariance Properties of Statistical Tests for Dependent Observations , Akhil K. Vaish

Dissertation: Rational Cubic B-Spline Interpolation and Its Applications in Computer Aided Geometric Design , Kotien Wu

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Dissertations & Theses

The following is a list of recent statistics and biostatistics PhD Dissertations and Masters Theses.

Jeffrey Gory (2017) PhD Dissertation (Statistics): Marginally Interpretable Generalized Linear Mixed Models Advisors: Peter Craigmile & Steven MacEachern

Yi Lu (2017) PhD Dissertation (Statistics): Function Registration from a Bayesian Perspective Advisors: Radu Herbei & Sebastian Kurtek

Michael Matthews (2017) PhD Dissertation (Statistics):  Extending Ranked Sampling in Inferential Procedures Advisor: Douglas Wolfe

Anna Smith (2017) PhD Dissertation (Statistics):  Statistical Methodology for Multiple Networks Advisor: Catherine Calder

Weiyi Xie (2017) PhD Dissertation (Statistics): A Geometric Approach to Visualization of Variability in Univariate and Multivariate Functional Data Advisor: Sebastian Kurtek

Jingying Zeng (2017) Masters Thesis (Statistics): Latent Factor Models for Recommender Systems and Market Segmentation Through Clustering Advisors: Matthew Pratola & Laura Kubatko

Han Zhang (2017) PhD Dissertation (Statistics): Detecting Rare Haplotype-Environmental Interaction and Nonlinear Effects of Rare Haplotypes using Bayesian LASSO on Quantitative Traits Advisor: Shili Lin

Mark Burch (2016) PhD Dissertation (Biostatistics): Statistical Methods for Network Epidemic Models Advisor: Grzegorz Rempala

Po-hsu Chen (2016) PhD Dissertation (Statistics):  Modeling Multivariate Simulator Outputs with Applications to Prediction and Sequential Pareto Minimization Advisors: Thomas Santner & Angela Dean

Yanan Jia (2016) PhD Dissertation (Statistics): Generalized Bilinear Mixed-Effects Models for Multi-Indexed Multivariate Data Advisor: Catherine Calder

Rong Lu (2016) PhD Dissertation (Biostatistics): Statistical Methods for Functional Genomics Studies Using Observational Data Advisor: Grzegorz Rempala (Public Health)

Junyan Wang (2016) PhD Dissertation (Statistics): Empirical Bayes Model Averaging in the Presence of Model Misfit Advisors: Mario Peruggia & Christopher Hans

Ran Wei (2016) PhD Dissertation (Statistics):  On Estimation Problems in Network Sampling Advisors: David Sivakoff & Elizabeth Stasny

Hui Yang (2016) PhD Dissertation (Statistics):  Adjusting for Bounding and Time-in-Sample Eects in the National Crime Victimization Survey (NCVS) Property Crime Rate Estimation Advisors: Elizabeth Stasny & Asuman Turkmen

Matthew Brems (2015) Masters Thesis (Statistis): The Rare Disease Assumption: The Good, The Bad, and The Ugly Advisor: Shili Lin

Linchao Chen (2015) PhD Dissertation (Statistics):  Predictive Modeling of Spatio-Temporal Datasets in High Dimensions Advisors: Mark Berliner & Christopher Hans

Casey Davis (2015) PhD Dissertation (Statistics):  A Bayesian Approach to Prediction and Variable Selection Using Nonstationary Gaussian Processes Advisors: Christopher Hans & Thomas Santner

Victor Gendre (2015) Masters Thesis (Statistics): Predicting short term exchange rates with Bayesian autoregressive state space models: an investigation of the Metropolis Hastings algorithm forecasting efficiency Advisor: Radu Herbei

Zhengyu Hu (2015) PhD Dissertation (Statistics):  Initializing the EM Algorithm for Data Clustering and Sub-population Detection Advisors: Steven MacEachern & Joseph Verducci

David Kline (2015) PhD Dissertation (Biostatistics): Systematically Missing Subject-Level Data in Longitudinal Research Synthesis Advisors: Eloise Kaizar, Rebecca Andridge (Public Health)

Andrew Landgraf (2015) PhD Dissertation (Statistics): Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters Advisor: Yoonkyung Lee

Andrew Olsen (2015) PhD Dissertation (Statistics):  When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods Advisor: Radu Herbei

Elizabeth   Petraglia (2015) PhD Dissertation (Statistics):  Estimating County-Level Aggravated Assault Rates by Combining Data from the National Crime Victimization Survey (NCVS) and the National Incident-Based Reporting System (NIBRS) Advisor: Elizabeth Stasny

Mark   Risser (2015) PhD Dissertation (Statistics):  Spatially-Varying Covariance Functions for Nonstationary Spatial Process Modeling Advisor: Catherine Calder

John Stettler (2015) PhD Dissertation (Statistics):  The Discrete Threshold Regression Model Advisor: Mario Peruggia

Zachary   Thomas (2015) PhD Dissertation (Statistics):  Bayesian Hierarchical Space-Time Clustering Methods Advisor: Mark Berliner

Sivaranjani   Vaidyanathan (2015) PhD Dissertation (Statistics):  Bayesian Models for Computer Model Calibration and Prediction Advisor: Mark Berliner

Xiaomu Wang (2015) PhD Dissertation (Statistics): Robust Bayes in Hierarchical Modeling and Empirical Bayes Analysis in Multivariate Estimation Advisor: Mark Berliner

Staci White (2015) PhD Dissertation (Statistics):  Quantifying Model Error in Bayesian Parameter Estimation Advisor: Radu Herbei

Jiaqi Zaetz (2015) PhD Dissertation (Statistics): A Riemannian Framework for Shape Analysis of Annotated 3D Objects Advisor: Sebastian Kurtek

Fangyuan Zhang (2015) PhD Dissertation (Biostatistics): Detecting genomic imprinting and maternal effects in family-based association studies Advisor: Shili Lin

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Browsing FAS Theses and Dissertations by FAS Department "Statistics"

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A Grand Journey of Statistical Hierarchical Modelling 

Advances in empirical bayes modeling and bayesian computation , advances in statistical network modeling and nonlinear time series modeling , advances in the normal-normal hierarchical model , analysis, modeling, and optimal experimental design under uncertainty: from carbon nano-structures to 3d printing , bayesian biclustering on discrete data: variable selection methods , bayesian learning of relationships , a bayesian perspective on factorial experiments using potential outcomes , building interpretable models: from bayesian networks to neural networks , causal inference under network interference: a framework for experiments on social networks , complications in causal inference: incorporating information observed after treatment is assigned , diagnostic tools in missing data and causal inference on time series , dilemmas in design: from neyman and fisher to 3d printing , distributed and multiphase inference in theory and practice: principles, modeling, and computation for high-throughput science , essays in causal inference and public policy , expediting scientific discoveries with bayesian statistical methods , exploring objective causal inference in case-noncase studies under the rubin causal model , exploring the role of randomization in causal inference , extensions of randomization-based methods for causal inference , g-squared statistic for detecting dependence, additive modeling, and calibration concordance for astrophysical data .

Innovative Statistics Project Ideas for Insightful Analysis

Table of contents

• 1.1 AP Statistics Topics for Project
• 1.2 Statistics Project Topics for High School Students
• 1.3 Statistical Survey Topics
• 1.4 Statistical Experiment Ideas
• 1.5 Easy Stats Project Ideas
• 1.6 Business Ideas for Statistics Project
• 1.7 Socio-Economic Easy Statistics Project Ideas
• 1.8 Experiment Ideas for Statistics and Analysis
• 2 Conclusion: Navigating the World of Data Through Statistics

Diving into the world of data, statistics presents a unique blend of challenges and opportunities to uncover patterns, test hypotheses, and make informed decisions. It is a fascinating field that offers many opportunities for exploration and discovery. This article is designed to inspire students, educators, and statistics enthusiasts with various project ideas. We will cover:

• Challenging concepts suitable for advanced placement courses.
• Accessible ideas that are engaging and educational for younger students.
• Ideas for conducting surveys and analyzing the results.
• Topics that explore the application of statistics in business and socio-economic areas.

Each category of topics for the statistics project provides unique insights into the world of statistics, offering opportunities for learning and application. Let’s dive into these ideas and explore the exciting world of statistical analysis.

Top Statistics Project Ideas for High School

Statistics is not only about numbers and data; it’s a unique lens for interpreting the world. Ideal for students, educators, or anyone with a curiosity about statistical analysis, these project ideas offer an interactive, hands-on approach to learning. These projects range from fundamental concepts suitable for beginners to more intricate studies for advanced learners. They are designed to ignite interest in statistics by demonstrating its real-world applications, making it accessible and enjoyable for people of all skill levels.

Need help with statistics project? Get your paper written by a professional writer Get Help Reviews.io 4.9/5

AP Statistics Topics for Project

• Analyzing Variance in Climate Data Over Decades.
• The Correlation Between Economic Indicators and Standard of Living.
• Statistical Analysis of Voter Behavior Patterns.
• Probability Models in Sports: Predicting Outcomes.
• The Effectiveness of Different Teaching Methods: A Statistical Study.
• Analysis of Demographic Data in Public Health.
• Time Series Analysis of Stock Market Trends.
• Investigating the Impact of Social Media on Academic Performance.
• Survival Analysis in Clinical Trial Data.
• Regression Analysis on Housing Prices and Market Factors.

Statistics Project Topics for High School Students

• The Mathematics of Personal Finance: Budgeting and Spending Habits.
• Analysis of Class Performance: Test Scores and Study Habits.
• A Statistical Comparison of Local Public Transportation Options.
• Survey on Dietary Habits and Physical Health Among Teenagers.
• Analyzing the Popularity of Various Music Genres in School.
• The Impact of Sleep on Academic Performance: A Statistical Approach.
• Statistical Study on the Use of Technology in Education.
• Comparing Athletic Performance Across Different Sports.
• Trends in Social Media Usage Among High School Students.
• The Effect of Part-Time Jobs on Student Academic Achievement.

Statistical Survey Topics

• Public Opinion on Environmental Conservation Efforts.
• Consumer Preferences in the Fast Food Industry.
• Attitudes Towards Online Learning vs. Traditional Classroom Learning.
• Survey on Workplace Satisfaction and Productivity.
• Public Health: Attitudes Towards Vaccination.
• Trends in Mobile Phone Usage and Preferences.
• Community Response to Local Government Policies.
• Consumer Behavior in Online vs. Offline Shopping.
• Perceptions of Public Safety and Law Enforcement.
• Social Media Influence on Political Opinions.

Statistical Experiment Ideas

• The Effect of Light on Plant Growth.
• Memory Retention: Visual vs. Auditory Information.
• Caffeine Consumption and Cognitive Performance.
• The Impact of Exercise on Stress Levels.
• Testing the Efficacy of Natural vs. Chemical Fertilizers.
• The Influence of Color on Mood and Perception.
• Sleep Patterns: Analyzing Factors Affecting Sleep Quality.
• The Effectiveness of Different Types of Water Filters.
• Analyzing the Impact of Room Temperature on Concentration.
• Testing the Strength of Different Brands of Batteries.

Easy Stats Project Ideas

• Average Daily Screen Time Among Students.
• Analyzing the Most Common Birth Months.
• Favorite School Subjects Among Peers.
• Average Time Spent on Homework Weekly.
• Frequency of Public Transport Usage.
• Comparison of Pet Ownership in the Community.
• Favorite Types of Movies or TV Shows.
• Daily Water Consumption Habits.
• Common Breakfast Choices and Their Nutritional Value.
• Steps Count: A Week-Long Study.

Business Ideas for Statistics Project

• Analyzing Customer Satisfaction in Retail Stores.
• Market Analysis of a New Product Launch.
• Employee Performance Metrics and Organizational Success.
• Sales Data Analysis for E-commerce Websites.
• Impact of Advertising on Consumer Buying Behavior.
• Analysis of Supply Chain Efficiency.
• Customer Loyalty and Retention Strategies.
• Trend Analysis in Social Media Marketing.
• Financial Risk Assessment in Investment Decisions.
• Market Segmentation and Targeting Strategies.

Socio-Economic Easy Statistics Project Ideas

• Income Inequality and Its Impact on Education.
• The Correlation Between Unemployment Rates and Crime Levels.
• Analyzing the Effects of Minimum Wage Changes.
• The Relationship Between Public Health Expenditure and Population Health.
• Demographic Analysis of Housing Affordability.
• The Impact of Immigration on Local Economies.
• Analysis of Gender Pay Gap in Different Industries.
• Statistical Study of Homelessness Causes and Solutions.
• Education Levels and Their Impact on Job Opportunities.
• Analyzing Trends in Government Social Spending.

Experiment Ideas for Statistics and Analysis

• Multivariate Analysis of Global Climate Change Data.
• Time-Series Analysis in Predicting Economic Recessions.
• Logistic Regression in Medical Outcome Prediction.
• Machine Learning Applications in Statistical Modeling.
• Network Analysis in Social Media Data.
• Bayesian Analysis of Scientific Research Data.
• The Use of Factor Analysis in Psychology Studies.
• Spatial Data Analysis in Geographic Information Systems (GIS).
• Predictive Analysis in Customer Relationship Management (CRM).
• Cluster Analysis in Market Research.

Conclusion: Navigating the World of Data Through Statistics

In this exploration of good statistics project ideas, we’ve ventured through various topics, from the straightforward to the complex, from personal finance to global climate change. These ideas are gateways to understanding the world of data and statistics, and platforms for cultivating critical thinking and analytical skills. Whether you’re a high school student, a college student, or a professional, engaging in these projects can deepen your appreciation of how statistics shapes our understanding of the world around us. These projects encourage exploration, inquiry, and a deeper engagement with the world of numbers, trends, and patterns – the essence of statistics.

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Boston College vs. Denver Frozen Four championship game time, TV channel, streaming info

No. 1 seed Boston College and No. 3 Denver are tied for the most NCAA Division I men's college hockey titles since the turn of the century with four apiece.

Saturday, one of them will skate away with another title when they face each other in the championship game of the Frozen Four.

Denver has the most recent championship, winning in 2022. It beat Massachusetts, Cornell and Boston University in this year's tournament. Boston College, which last won in 2012, knocked off Michigan Tech, defending champion Quinnipiac and Michigan to reach the final.

Denver won 4-3 in overtime when the teams played in October.

Here's what to know about Saturday's NCAA championship game:

When is the NCAA Frozen Four championship game?

Boston College and Denver will play in the championship game at 6 p.m. ET Saturday.

Where is the NCAA Frozen Four being held?

The championship game will be at Xcel Energy Center in Saint Paul, Minnesota.

How can I watch the NCAA Frozen Four championship game on TV?

The game will be shown on ESPN2. 

How can I live stream the NCAA Frozen Four championship game?

The game will be streamed on ESPN+.

What to know about Boston College and Denver

Boston College  (34-5-1) has five titles. It has four of the NCAA's top six scorers, led by Will Smith (71 points), a San Jose Sharks draft pick. He had two goals in the 4-0 win against Michigan and two goals in the October loss to Denver. Cutter Gauthier, an Anaheim Ducks prospect, scored against Michigan to give him 65 points. He was voted top forward as the USA won gold at the world junior championships and was a finalist for the Hobey Baker Award ( won by Boston University's Macklin Celebrini ). Freshman goalie Jacob Fowler was a finalist for the Mike Richter Award ( won by Wisconsin netminder Kyle McClellan ).

Denver  (31-9-3) has nine titles. It has Division I's top offense, averaging 4.65 goals per game to BC's 4.58. Leading scorer Jack Devine averages 1.3 points per game and had two assists against Boston University, including on Carter King's overtime goal. High-scoring defenseman Zeev Buium (49 points) was rated among the top North American draft prospects in NHL Central Scouting's midseason rankings.