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Now showing items 2391-2400 of 3109
Testing Parallelism for the Four-Parameter Logistic Model with D-Optimal Design
(North Dakota State University, 2018)
In order to determine the potency of the test preparation relative to the standard preparation, it is often important to test parallelism between a pair of dose-response curves of reference standard and test sample. Optimal ...
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 ...
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 ...
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 ...
Robust D-Optimal Design for Response Functions with a Downturn
(North Dakota State University, 2013)
Researchers studying dose-response relationships must allocate limited resources to design points in order to maximize the information gained from the study. D-optimal design is a well-described design that works efficiently ...