Analysis of means using ranks for the randomized complete block design
作者:
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1994)
卷期:
Volume 23,
issue 2
页码: 547-568
ISSN:0361-0918
年代: 1994
DOI:10.1080/03610919408813185
出版商: Marcel Dekker, Inc.
关键词: analysis of means;analysis of variance;Friedman test;Monte carlo;ranks;randomized complete block design
数据来源: Taylor
摘要:
A nonparametric test procedure is proposed for the analysis of randomized complete block designs. Such a procedure may be carried out graphically in the form of a Shewhart control chart. Exact and asymptotic critical values are given for the implementation of the proposed procedure. A Monte Carlo study is made to compare the powers of the proposed procedure to those of analysis of variance, the analysis of means, and the Friedman procedures. Results of the study indicate that the proposed procedure has superior power performance when testing against slippage alternative hypotheses under heavy-tailed distributions such as the Cauchy distribution. However, when testing against symmetric alternatives under light-tailed distributions, the proposed procedure does not perform well
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