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Now showing items 3371-3380 of 4247
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, ...
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 ...
Conditional Random Field with Lasso and its Application to the Classification of Barley Genes Based on Expression Level Affected by Fungal Infection
(North Dakota State University, 2019)
The classification problem of gene expression level, more specifically, gene expression analysis, is a major research area in statistics. There are several classical methods to solve the classification problem. To apply ...
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 ...
Optimal Designs for the Hill Model with Three Parameters
(North Dakota State University, 2012)
Optimal designs specify design points to use and how to distribute subjects over these design points in the most efficient manner. The Hill model with three parameters is often used to describe sigmoid dose response ...
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 ...