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Now showing items 81-88 of 88
Proposed Nonparametric Tests for the Umbrella Alternative in a Mixed Design for Both Known and Unknown Peak
(North Dakota State University, 2019)
In several situations, and among various treatment effects, researchers might test for an umbrella alternative. The need for an umbrella alternative arises in the evaluation of the reaction to drug dosage. For instance, ...
A Comparison of False Discovery Rate Method and Dunnett's Test for a Large Number of Treatments
(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 ...
Model Validation and Diagnostis in Right Censored Regression
(North Dakota State University, 2013)
When censored data are present in the linear regression setting, the Expectation-Maximization (EM) algorithm and the Buckley and James (BJ) method are two algorithms that can be implemented to fit the regression model. We ...
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 Comparison of the Ansari-Bradley Test and the Moses Test for the Variances
(North Dakota State University, 2011)
This paper is aimed to compare the powers and significance levels of two well known
nonparametric tests: the Ansari-Bradley test and the Moses test in both situations where
the equal-median assumption is satisfied and ...
Factors Influencing Carbon Sequestration in Northern Great Plains Grasslands
(North Dakota State University, 2011)
Soil development is influenced by the five soil forming factors; parent material,
climate, landscape, organisms and time. This study was designed to examine the effects of
landscape and organisms (vegetation) on carbon ...
A Pilot Study of Module Interconnectedness
(North Dakota State University, 2010)
Complexity plays an important role in understanding and working with a
program, and has been measured in many different ways for software applications. The
use of statistical analysis is one of the ways to predict the ...
Robust Tests for Cointegration with Application to Statistical Arbitrage Trading Strategies
(North Dakota State University, 2010)
This study proposes two new cointegration tests that employ rank-based and least absolute
deviation techniques to create a robust version of the Engle-Granger cointegration test.
Critical values are generated through a ...