Search results | J. Murrey Atkins Library

Title: Cross-Sectional and Time Series Analysis of Crime Rate Across North Carolina
Author: Johnson, Isabella
Date Created: 2022
Subjects--Topical: Statistics, Mathematics
Description: Unemployment rate reached an astronomical high in 2020 due to the Covid-19 pandemic.The media began reporting on increasing crime rates due to the unemployment rate rising. The Center for Disease Control (CDC) reported that over 81,000 drug overdo...

Title: Dynamic Modeling of Incomplete Event History Data
Author: Heng, Fei
Date Created: 2019
Subjects--Topical: Statistics
Description: Event history analysis has important applications in many fields, such as medicine, engineering, econometrics, actuarial science, and social studies. We usually encounter missing data problems in the modeling of event history data. One typical pro...

Title: Generalized semiparametric varying-coefficient models for longitudinal data
Author: Qi, Li
Date Created: 2015
Subjects--Topical: Mathematics, Statistics, Biometry
Description: In this dissertation, we investigate the generalized semiparametric varying-coefficient models for longitudinal data that can flexibly model three types of covariate effects: time-constant effects, time-varying effects, and covariate-varying effec...

Title: Goodness-of-Fit Tests Under Permutations
Author: Chen, Chen
Date Created: 2019
Subjects--Topical: Statistics, Mathematics, Information science
Description: Several new goodness-of-fit tests are proposed on countable alphabets, where certain fundamental statistical concepts associated with random variables, such as cumulative distribution functions, characteristic functions and moments, may not exist....

Title: Inequalities in Education: A Closer Focus on School Discipline
Author: Furukawa, Taylor
Date Created: 2023
Subjects--Topical: Education, Statistics, Social sciences--Research
Description: Disproportionalities in school discipline have become a popular research topic in recent decades, particularly at the school-, district-, and state-level. While there are a handful of reports using nationally representative data, this study provid...

Title: Interval Estimation for Semiparametric Predictive Regression
Author: Hong, Shaoxin
Date Created: 2018
Subjects--Topical: Statistics
Description: Predictive regression is an important research topic in financial econometrics. Various estimation methods have been proposed for it, but they suffer from complicated asymptotic limits which depend on whether or not the predicting variable is stat...

Title: Jensen-Shannon Divergence: Estimation and Hypothesis Testing
Author: Stewart, Ann
Date Created: 2019
Subjects--Topical: Statistics
Description: Jensen-Shannon divergence is one reasonable solution to the problem of measuring the level of difference or "distance'" between two probability distributions on a multinomial population. If one of the distributions is assumed to be known a priori,...

Title: LIMIT THEOREMS FOR RANDOM EXPONENTIAL SUMS AND THEIR APPLICATIONS TO INSURANCE AND THE RANDOM ENERGY MODEL
Author: Erturk, Huseyin
Date Created: 2016
Subjects--Topical: Mathematics, Statistics
Description: In this dissertation, we are mainly concerned with the sum of random exponentials. Here, the random variables are independent and identically distributed. Another distinctive assumption is the number of variables in this sum is a function of the c...

Title: March Madness prediction using quantile regression
Author: Mays, Kimberly
Date Created: 2022
Subjects--Topical: Statistics, Mathematics
Description: The annual NCAA Division I men’s basketball tournament is one of the most prominent sporting events in the United States and the subject of much interest among fans and statisticians alike. In this work, we propose a new method for predicting ther...

Title: Multivariate Functional Predictor Selection
Author: Mahzarnia, Ali
Date Created: 2021
Subjects--Topical: Mathematics, Statistics
Description: We propose methods for functional predictor selection and the estimation of smooth functional coefficients simultaneously in a scalar-on-function regression problem under a high-dimensional multivariate functional data setting. In particular, we d...

Title: Non-nested Model Selection via Empirical Likelihood
Author: Zhao, Cong
Date Created: 2017
Subjects--Topical: Statistics
Description: In this dissertation we propose an empirical likelihood ratio (ELR) test to conductnon-nested model selection. It allows for heteroscedasticity and works for any twosupervised statistical learning methods under mild conditions. We establish asympt...

Title: Non-parametric Estimation of Information-theoretic Quantities in Entropic Perspective
Author: Zhang, Jialin
Date Created: 2019
Subjects--Topical: Statistics
Description: Introduced by Shannon, mutual information is a fundamental brick of information theory for its essential role in measuring association on non-ordinal alphabets. Mutual information being zero is a golden property as it indicates a probabilistic ind...

Title: Semiparametric Additive Hazards Models with Missing Covariates
Author: Subedi, Pramesh
Date Created: 2021
Subjects--Topical: Statistics, Biometry
Description: The case-cohort study design was originally proposed by Prentice (1986). Under this design,a random sub-cohort of individuals is selected from the cohort of study. Full covariate data are collected from all the cases in the cohort and the sub-coho...

Title: Statistical Inference of Semiparametric Cox-Aalen Transformation Models with Failure Time Data
Author: Ning, Xi
Date Created: 2023
Subjects--Topical: Biometry, Statistics
Description: Failure time data are commonly encountered in epidemiological and biomedical studies, where the exact time of an event may be unknown or incomplete. Many semiparametric models have been developed in the literature to analyze such data; however, th...

Title: THE SEMIPARAMETRIC MARK-SPECIFIC PROPORTIONAL HAZARDS MODEL FOR MULTIVARIATE MARKS VIA A SINGLE-INDEX
Author: Shao, Yuehan
Date Created: 2020
Subjects--Topical: Statistics, Mathematics
Description: Competing risk analysis is commonly applied to time-to-event data with finitely many causes of failure. It alters the probability of the occurrence of an event of interest broken down by a specific cause. Motivated by the HIV vaccine efficacy tria...