Estimating the asymptotic relative efficiency of weighted rankings
作者:
Claudio Silva,
Dana Quade,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1983)
卷期:
Volume 12,
issue 5
页码: 511-521
ISSN:0361-0918
年代: 1983
DOI:10.1080/03610918308812339
出版商: Marcel Dekker, Inc.
关键词: complete blocks designs;Monte Carlo study;two-way analysis of variance;Friedman test;ranking after alignment
数据来源: Taylor
摘要:
Five tests for the hypothesis of no treatment effects in complete blocks designs are compared with respect to asymptotic relative efficiency: the ordinary two-way analysis of variance, the analysis of variance of ranks (Friedman, 1937), the method of ranking after alignment (Hodges and Lehmann, 1962), and a method of weighted rankings proposed by Quade (1972, 1979). This comparison required devising a procedure for estimating the asymptotic relative efficiencies of test statistics with asymp-totic chi-squared distributions.
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