Statistics Masters Theses: Recent submissions
Now showing items 41-60 of 65
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Estimating Return on Initial Public Offering Using Mixtures of Regressions
(North Dakota State University, 2015)Financial advisors working in a stock exchange market are often faced with a situation to convince a client of merits of investing in a company that just entered the market. To predict company's return based on its revenue, ... -
Loss Reserving Chain Ladder Methods Applied to a Small Midwestern Insurance Company
(North Dakota State University, 2015)Estimating future losses is integral to setting aside appropriate reserves in the insurance industry. This study analyzes different Chain Ladder reserving methods based on weighted-least square regression that consider ... -
Modeling Loss Severity With Lognormal Mixtures
(North Dakota State University, 2015)Property and Casualty insurance companies set premium rates by evaluating both loss fre- quency and loss severity data. Insurance companies often model severity using a well-known single distribution such as Lognormal ... -
Demographic Analysis of Student Evaluations
(North Dakota State University, 2015)Data was collected from North Dakota State University’s student rating of instructor’s forms during the fall of 2013 and the spring of 2014. This thesis investigates differences between male and female instructor’s ... -
Comparing Total Hip Replacement Drug Treatments for Cost and Length of Stay
(North Dakota State University, 2015)The objective of this study is to identify the potential effect anticoagulants, spinal blocks, and antifibrinolytics have on overall cost, length of stay, and re-admission rates for total hip replacement patients. We use ... -
Analysis of Bootstrap Techniques for Loss Reserving
(North Dakota State University, 2015)Insurance companies must have an appropriate method of estimating future reserve amounts. These values will directly influence the rates that are charged to the customer. This thesis analyzes stochastic reserving techniques ... -
Comparative Classification of Prostate Cancer Data using the Support Vector Machine, Random Forest, Dualks and k-Nearest Neighbours
(North Dakota State University, 2015)This paper compares four classifications tools, Support Vector Machine (SVM), Random Forest (RF), DualKS and the k-Nearest Neighbors (kNN) that are based on different statistical learning theories. The dataset used is a ... -
Drug Treatment Comparison for Total Knee Replacement Surgery
(North Dakota State University, 2015)In this study, we aim to better understand how spinal block, anticoagulant, and antifibrinolytic drug treatments are associated with hospital costs, lengths of stay, prevalence of early readmissions, and prevalence of blood ... -
Analysis of Salary for Major League Baseball Players
(North Dakota State University, 2014)This thesis examines the salary of Major League Baseball (MLB) players and whether players are paid based on their on-the-field performance. Each salary was examined on both the yearly production and the overall career ... -
A Multi-trait Mixed-model for Genome-wide Association Study in Barley Population
(North Dakota State University, 2015)Genome-wide association study (GWAS) is a standard approach for studying the genetics of natural variation, typically focusing on association between single-nucleotide polymorphisms (SNPs) and traits. For GWAS, if multiple ... -
Frost Depth Prediction
(North Dakota State University, 2014)The purpose of this research project is to develop a model that is able to accurately predict frost depth on a particular date, using available information. Frost depth prediction is useful in many applications in several ... -
T-Optimal Designs for Model Discrimination in Probit Models
(North Dakota State University, 2014)When dose-response functions have a downturn, one interesting feature to study is the significance of the downturn. The interesting feature can be studied using model discrimination between two rival models (model describing ... -
Using Imputed Microrna Regulation Based on Weighted Ranked Expression and Putative Microrna Targets and Analysis of Variance to Select Micrornas for Predicting Prostate Cancer Recurrence
(North Dakota State University, 2014)Imputed microRNA regulation based on weighted ranked expression and putative microRNA targets (IMRE) is a method to predict microRNA regulation from genome-wide gene expression. A false discovery rate (FDR) for each microRNA ... -
Bracketing the NCAA Women's Basketball Tournament
(North Dakota State University, 2014)This paper presents a bracketing method for all the 63 games in NCAA Division I Women's basketball tournament. Least squares models and logistic regression models for Round 1, Round 2 and Rounds 3-6 were developed, to ... -
Identification of Differentially Expressed Genes and Gene Sets Using a Modified Q-Value
(North Dakota State University, 2014)Gene expression technologies allow expression levels to be compared across treatments for thousands of genes simultaneously. Statistical methods exist for identifying differentially expressed (DE) genes and gene sets while ... -
Robust c-Optimal Design for Estimating the Edp
(North Dakota State University, 2014)Optimal design provides the most efficient design to study dose-response functions. It is often observed to adopt the four-parameter logistic model to describe the dose-response relationships in many dose finding trials. ... -
Predicting Recessions in the U.S. with Yield Curve Spread
(North Dakota State University, 2013)This paper proposes a hidden Markov model for the signal of U.S. recessions. The model uses the spread of interest rate between 10-year Treasury bond and 3-month Treasury bill, together with other financial indicators which ... -
Development of a Prediction Model for the NCAA Division-I Football Championship Subdivision
(North Dakota State University, 2013)This thesis investigates which in-game team statistics are most significant in determining the outcome in a NCAA Division-I Football Championship Subdivision (FCS) game. The data was analyzed using logistic and ordinary ... -
Examining Influential Factors and Predicting Outcomes in European Soccer Games
(North Dakota State University, 2013)Models are developed using least squares regression and logistic regression to predict outcomes of European soccer games based on four variables related to the past k games of each team playing with the following values ... -
Comparing Dunnett's Test with the False Discovery Rate Method: A Simulation Study
(North Dakota State University, 2013)Recently, the idea of multiple comparisons has been criticized because of its lack of power in datasets with a large number of treatments. Many family-wise error corrections are far too restrictive when large quantities ...