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Nonparametric Tests for the Non-Decreasing and Alternative Hypotheses for the Incomplete Block and Completely Randomized Mixed Design
(North Dakota State University, 2014)
This research study proposes a solution to deal with missing observations which is
a common problem in real world datasets. A nonparametric approach is used because of
its ease of use relative to the parametric approach ...
A Conditional Random Field (CRF) Based Machine Learning Framework for Product Review Mining
(North Dakota State University, 2019)
The task of opinion mining from product reviews has been achieved by employing rule-based approaches or generative learning models such as hidden Markov models (HMMs). This paper introduced a discriminative model using ...
A Nonparametric Test for the Non-Decreasing Alternative in an Incomplete Block Design
(North Dakota State University, 2011)
The purpose of this paper is to present a new nonparametric test statistic for testing against ordered alternatives in a Balanced Incomplete Block Design (BIBD). This test will then be compared with the Durbin test which ...
Examining Influential Factors and Predicting Outcomes in European Soccer Games
(North Dakota State University, 2013)
Models are developed using least squares regression and logistic regression to predict outcomes of European soccer games based on four variables related to the past k games of each team playing with the following values ...
Comparative Analysis of Traditional and Modified DECODE Method in Small Sample Gene Expression Experiments
(North Dakota State University, 2018)
Background: The DECODE method integrates differential co-expression and differential expression analysis methods to better understand biological functions of genes and their associations with disease. The DECODE method ...
Identification of Differentially Expressed Genes and Gene Sets Using a Modified Q-Value
(North Dakota State University, 2014)
Gene expression technologies allow expression levels to be compared across treatments for thousands of genes simultaneously. Statistical methods exist for identifying differentially expressed (DE) genes and gene sets while ...
Examination of the Relationship Between Student Academic Outcomes and Usage of the Campus Recreational Facility
(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 ...
D-optimal Design for the 5PL-1P Model in Chemical Toxicity Assessment
(North Dakota State University, 2016)
The five-parameter logistic minus one-parameter model is a hybrid between the five-parameter model and the four-parameter model used for the relationship between concentration and response. The four-parameter model includes ...
Robust c-Optimal Design for Estimating the Edp
(North Dakota State University, 2014)
Optimal design provides the most efficient design to study dose-response functions. It is often observed to adopt the four-parameter logistic model to describe the dose-response relationships in many dose finding trials. ...
Entropy as a Criterion for Variable Reduction in Cluster Data
(North Dakota State University, 2012)
Entropy is a measure of the randomness of a system state. This quantity gives us a measure of uncertainty that is associated with each particular observation belonging to a specific cluster. We examine this property and ...