Browsing Statistics Masters Theses by Title
Now showing items 21-40 of 64
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D-optimal Design for the 5PL-1P Model in Chemical Toxicity Assessment
(North Dakota State University, 2016)The five-parameter logistic minus one-parameter model is a hybrid between the five-parameter model and the four-parameter model used for the relationship between concentration and response. The four-parameter model includes ... -
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 ... -
The Determinants of Aeronautical Charges of U.S.Airports: A Spatial Analysis
(North Dakota State University, 2020)Using U.S. airport data from 2009 through 2016, this thesis examines the determinants of aeronautical charges of large and medium hub airports and accounts for the spatial dependence of neighboring airports in a spatial ... -
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 ... -
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 ... -
DT-Optimal Designs for Probit Models in Clinical Trials
(North Dakota State University, 2015)The Optimal designs used in a clinical trial depends on the goals of the study. Common goals are estimating model parameters and choosing between models. D-optimal designs are used when the goal is to estimate the model ... -
Empirical Comparison of Statistical Tests of Dense Subgraph in Network Data
(North Dakota State University, 2020)Network analysis is useful in modeling the structures of different phenomena. A fundamental question in the analysis of network data is whether a network contains community structure. One type of community structure of ... -
Empirical Study of Two Hypothesis Test Methods for Community Structure in Networks
(North Dakota State University, 2019)Many real-world network data can be formulated as graphs, where a binary relation exists between nodes. One of the fundamental problems in network data analysis is community detection, clustering the nodes into different ... -
Entropy as a Criterion for Variable Reduction in Cluster Data
(North Dakota State University, 2012)Entropy is a measure of the randomness of a system state. This quantity gives us a measure of uncertainty that is associated with each particular observation belonging to a specific cluster. We examine this property and ... -
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, ... -
Estimating the Number of Genes That Are Differentially Expressed in Two Dependent Experiments or Analyses
(North Dakota State University, 2022)Many researchers have used the intersection method to compare the results of differential expression analysis between two or more gene expression experiments. Some methods have been proposed to estimate the number of genes ... -
Examination of the Relationship Between Student Academic Outcomes and Usage of the Campus Recreational Facility
(North Dakota State University, 2016)The purpose of this thesis is to examine the relationship between student academic outcomes, such as grade point average (GPA) and retention, and usage of the campus recreational facility. The population of interest was ... -
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 ... -
Factors Associated with Teacher Preparedness and Career Satisfaction in First Year Teachers
(North Dakota State University, 2020)The objective of this study is to determine the potential association between teaching state, subject taught, perceived preparation given by teacher preparedness programs, and perceived support from administration and ... -
Forecasting Batter Performance using Statcast Data in Major League Baseball
(North Dakota State University, 2017)2015 saw the release of the Statcast camera system within Major League Baseball ballparks, which provided statisticians with new data to analyze. One statistic, average exit velocity, is of particular interest. We would ... -
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 ... -
A Geostatistical Analysis of Housing Prices in Fargo
(North Dakota State University, 2017)This study investigated housing prices by applying geostatistical regression techniques to identify the significant factors affecting residential housing sales prices in Fargo, North Dakota. The study used a subset of ... -
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 ... -
Information Asymmetry in Budget Allocation: An Analysis of the Truth-Inducing Incentive Scheme
(North Dakota State University, 2016)Truth-inducing incentive schemes are used to motivate project managers to provide unbiased project information to portfolio manager to reduce information asymmetry between portfolio manager and project managers. To improve ... -
Investigating Gender Bias Among Grant Applicants
(North Dakota State University, 2020)An ongoing debate in society is about the existence of a wage gap between genders, and society’s alleged preference to hire a man over an equally qualified woman. This debate extends from the commercial employment world ...