Browsing Statistics Masters Theses by Title
Now showing items 36-55 of 65
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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 ... -
Graph two-sample test via empirical likelihood
(North Dakota State University, 2024)In the past two decades, there has been a notable surge in network data. This proliferation has spurred significant advancements in methods for analyzing networks across various disciplines, including computer science, ... -
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 ... -
Investigating Statistical vs. Practical Significance of the Kolmogorov-Smirnov Two-Sample Test Using Power Simulations and Resampling Procedures
(North Dakota State University, 2018)This research examines the power of the Kolmogorov-Smirnov two-sample test. The motivation for this research is a large data set containing soil salinity values. One problem encountered was that the power of the ... -
Linear Modeling of Election Results for U.S. House of Representatives Candidates and State Executive Offices for Iowa, Minnesota, and North Dakota
(North Dakota State University, 2020)Better understanding the relationship between the results for the U.S. House of Representatives and for state executive offices could potentially be useful in predicting outcomes if a significant relationship is present ... -
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 ... -
Mass Spectrum Analysis of a Substance Sample Placed into Liquid Solution
(North Dakota State University, 2011)Mass spectrometry is an analytical technique commonly used for determining elemental composition in a substance sample. For this purpose, the sample is placed into some liquid solution called liquid matrix. Unfortunately, ... -
A Model to Predict Matriculation of Concordia College Applicants
(North Dakota State University, 2017)Colleges and universities are under mounting pressure to meet enrollment goals in the face of declining college attendance. Insight into student-level probability of enrollment, as well as the identification of features ... -
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 ... -
Modeling the Winners of NCAA Women's Division II Basketball Tournament Games
(North Dakota State University, 2016)This thesis first presents a least squares regression model to identify the in-game statistics that help explain the variation in point spread for NCAA Division II Women’s Basketball Tournament games. Then a logistic ... -
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 ... -
A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design
(North Dakota State University, 2011)The purpose of this paper is to present a new nonparametric test statistic for testing against ordered alternatives in a Balanced Incomplete Block Design (BIBD). This test will then be compared with the Durbin test which ... -
Nonparametric Test for the Umbrella Alternative in a Randomized Complete Block and Balanced Incomplete Block Mixed Design
(North Dakota State University, 2012)Nonparametric tests have served as robust alternatives to traditional statistical tests with rigid underlying assumptions. If a researcher expects the treatment effects to follow an umbrella alternative, then the test ... -
On K-Means Clustering Using Mahalanobis Distance
(North Dakota State University, 2012)A problem that arises quite frequently in statistics is that of identifying groups, or clusters, of data within a population or sample. The most widely used procedure to identify clusters in a set of observations is known ... -
Power Analysis to Determine the Importance of Covariance Structure Choice in Mixed Model Repeated Measures Anova
(North Dakota State University, 2017)Repeated measures experiments involve multiple subjects with measurements taken on each subject over time. We used SAS to conduct a simulation study to see how different methods of analysis perform under various simulation ... -
Predicting Outcomes of NBA Basketball Games
(North Dakota State University, 2016)A stratified random sample of 144 NBA basketball games was taken over a three-year period, between 2008 and 2011. Models were developed to predict point spread and to estimate the probability of a specific team winning ... -
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 ...