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Stephen F. Austin State University

Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models

Abstract

dc:description.abstract

<p>ABSTRACT</p> <p>Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models</p> <p>By</p> <p>Gregory Frank Malek</p> <p>Stephen F. Austin State University, Masters in Statistics Program,</p> <p>Nacogdoches, Texas, U.S.A.</p> <p><a href="mailto:g_m_2002@live.com">g_m_2002@live.com</a></p> <p>This work investigated common alternatives to the least-squares regression method in the presence of non-normally distributed errors. An initial literature review identified a variety of alternative methods, including Theil Regression, Wilcoxon Regression, Iteratively Re-Weighted Least Squares, Bounded-Influence Regression, and Bootstrapping methods. These methods were evaluated using a simple simulated example data set, as well as various real data sets, including math proficiency data, Belgian telephone call data, and faculty salaries at the University of South Florida.</p> <p>In addition, simulations were conducted of common error scenarios to test and evaluate each method. These simulations involved simple regression models in which the error terms were contaminated normal distributions with different amounts and magnitudes of contamination. The models were evaluated based on confidence interval coverage of regression coefficients, as well as bias and confidence interval width.</p> <p>Finally, results were summarized, conclusions drawn, and suggestions for future applications of the results have been provided.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science - Statistics
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Mathematics and Statistics
Year dc:date.available
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Malek, Gregory F
Contributors dc:contributor
  • Dr. Robert K. Henderson

Subjects

dc:subject × 8

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.sfasu.edu/etds/120
OAI identifier oai:identifier
oai:scholarworks.sfasu.edu:etds-1129

Chain of custody

source
Harvested from
Stephen F. Austin State University
Base URL
scholarworks.sfasu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Malek, Gregory F. Examination and Comparison of the Performance of Common Non-Parametric and Robust Regression Models. Thesis thesis, 2017. https://scholarworks.sfasu.edu/etds/120