An evaluation of some nonparametric multiple comparison procedures by Monte Carlo methods
作者:
F. A. Lin,
J. K. Haseman,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1978)
卷期:
Volume 7,
issue 2
页码: 117-128
ISSN:0361-0918
年代: 1978
DOI:10.1080/03610917808812065
出版商: Marcel Dekker, Inc.
关键词: ranks;simultaneous statistical inference;non-parametric tests;type I and II error rates
数据来源: Taylor
摘要:
Computer simulation techniques were employed to investigate the Type I and Type II error rates (experiment-wise and comparison-wise) of three nonparametric multiple comparison procedures. Three different underlying distributions were considered. It was found that the nonparametric analog to Fisher’s LSD (a Kruskal-Wallis test, followed by pairwise Mann-Whitney U tests if a significant overall effect is detected) appeared to be superior to the Nemenyi-Dunn and Steel-Dwass procedures, because of the extreme conservatism of these latter methods.
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