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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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