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https://hdl.handle.net/2142/21405
Description
Title
The use of rank tests in analysis of variance
Author(s)
Muyot, Maria Emerita Carmen Tiongson
Issue Date
1993
Doctoral Committee Chair(s)
Marden, John I.
Department of Study
Statistics
Discipline
Statistics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Statistics
Language
eng
Abstract
Several nonparametric tests based on ranks have been proposed to handle analysis of variance problems. But questions have been raised about the appropriateness of some procedures that are mere rank transformations of normal theory analysis of variance tests.
"An alternative method using the concept of ""orthogonal contrasts"" is developed and applied to one- and higher-way analysis of variance problems. Tests for main effects as well as interactions are discussed and compared with the classical F-test and other nonparametric rank tests by means of Monte Carlo simulations on Type I error rates and power for different alternatives."
Type of Resource
text
Permalink
http://hdl.handle.net/2142/21405
Copyright and License Information
Copyright 1993 Muyot, Maria Emerita Carmen Tiongson
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