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Now showing items 11-20 of 64
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 ...
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 ...
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, ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...