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Selected Works of Hani M. Samawi
Article
Quasi-likelihood Ratio Tests for Homoscedasticity of Variance in Linear Regression
Journal of Modern Applied Statistical Methods
  • Lili Yu, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Varadan Sevilimedu, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Robert Vogel, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Hani Samawi, Georgia Southern University, Jiann-Ping Hsu College of Public Health
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Document Type
Article
Publication Date
1-1-2019
DOI
10.22237/jmasm/1556669460
Disciplines
Abstract

Two quasi-likelihood ratio tests are proposed for the homoscedasticity assumption in the linear regression models. They require few assumptions than the existing tests. The properties of the tests are investigated through simulation studies. An example is provided to illustrate the usefulness of the new proposed tests.

Comments

The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.

Citation Information
Lili Yu, Varadan Sevilimedu, Robert Vogel and Hani Samawi. "Quasi-likelihood Ratio Tests for Homoscedasticity of Variance in Linear Regression" Journal of Modern Applied Statistical Methods Vol. 18 Iss. 1 (2019) p. 1 - 16 ISSN: 1538-9472
Available at: http://works.bepress.com/hani_samawi/270/