Now showing items 41-60 of 121

    • Modeling Loss Severity With Lognormal Mixtures 

      Hugen, Joshua Gilbert (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 ...
    • Comparative Classification of Prostate Cancer Data using the Support Vector Machine, Random Forest, Dualks and k-Nearest Neighbours 

      Sakouvogui, Kekoura (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 ...
    • Analysis of Bootstrap Techniques for Loss Reserving 

      Chase, Taryn Ruth (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 ...
    • A Study of Influential Statistics Associated with Success in the National Football League 

      Roith, Joseph Michael (North Dakota State University, 2015)
      This dissertation considers the most important aspects of success in the National Football League (NFL). Success is defined, for this paper, as winning individual games in the short term, and making the playoffs over the ...
    • Comparing Several Modeling Methods on NCAA March Madness. 

      Hua, Su (North Dakota State University, 2015)
      This year (2015), according to the AGA’s (American Gaming Association) research, nearly about 40 million people filled out about 70 million March Madness brackets (Moyer, 2015). Their objective is to correctly predict the ...
    • Drug Treatment Comparison for Total Knee Replacement Surgery 

      Soderholm, Kevin Jeffrey (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 ...
    • Comparing Total Hip Replacement Drug Treatments for Cost and Length of Stay 

      Huebner, Blake James (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 ...
    • Identifying Significant Factors Influencing Metabolic Syndrome In China 

      Gu, Xiaoxue (North Dakota State University, 2015)
      Metabolic Syndrome occurs when a person’s body does not properly use and store energy. The disease has five criteria: abdominal obesity, insulin resistance, hypertension, dyslipidemia, and impaired glucose regulation. The ...
    • Boundary Estimation 

      Mu, Yingfei (North Dakota State University, 2015)
      The existing statistical methods do not provide a satisfactory solution to determining the spatial pattern in spatially referenced data, which is often required by research in many areas including geology, agriculture, ...
    • Where do the Differences Lie?: An Analysis of Distance Road Running Populations 

      Johnson, Jennifer Elizabeth (North Dakota State University, 2015)
      Recently, much research has been focused on the gap in performance between male and female runners. Our research is focused on examining the gap between these two running populations in depth to determine where the specific ...
    • Clustering Algorithm Comparison for Ellipsoidal Data 

      Loeffler, Shane Robert (North Dakota State University, 2015)
      The main objective of cluster analysis is the statistical technique of identifying data points and assigning them into meaningful clusters. The purpose of this paper is to compare different types of clustering algorithms ...
    • Loss Reserving Chain Ladder Methods Applied to a Small Midwestern Insurance Company 

      Martin, Peter (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 ...
    • Demographic Analysis of Student Evaluations 

      Huebner, Lucas James (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 ...
    • A Multi-trait Mixed-model for Genome-wide Association Study in Barley Population 

      Li, Qiang (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 Comparison of False Discovery Rate Method and Dunnett's Test for a Large Number of Treatments 

      Gomez, Kayeromi Donoukounmahou (North Dakota State University, 2015)
      It has become quite common nowadays to perform multiple tests simultaneously in order to detect differences of a certain trait among groups. This often leads to an inflated probability of at least one Type I Error, a ...
    • Predicting Outcomes of NBA Basketball Games 

      Jones, Eric Scot (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 ...
    • Prediction of the World Cup Soccer Winner: Using Two Statistical Methods 

      Sylla, Mohamed Dit Mody (North Dakota State University, 2016)
      Soccer is considered the most popular sport on earth and applying statistical models to analyze small soccer data has been of a keen interest to modern researchers. Statistical modeling of soccer data also provides guidance ...
    • Information Asymmetry in Budget Allocation: An Analysis of the Truth-Inducing Incentive Scheme 

      Zhou, Yun (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 ...
    • Forecasting Point Spread for Women’s Volleyball 

      Zhang, Deling (North Dakota State University, 2016)
      Volleyball has become a well-known and competitive sport with physical and technical performances over the years. The game results are determined by some important factors such as players, and the team’s skills to succeed ...
    • Examination of the Relationship Between Student Academic Outcomes and Usage of the Campus Recreational Facility 

      Tomanek, Kristen Marie (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 ...