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Title:The use of rank tests in analysis of variance
Author(s):Muyot, Maria Emerita Carmen Tiongson
Doctoral Committee Chair(s):Marden, John I.
Department / Program:Statistics
Discipline:Statistics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Statistics
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.
Issue Date:1993
Type:Text
Language:English
URI:http://hdl.handle.net/2142/21405
Rights Information:Copyright 1993 Muyot, Maria Emerita Carmen Tiongson
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9411728
OCLC Identifier:(UMI)AAI9411728


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