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Artigo Revisado por pares
BIBTEX RIS

Permutation techniques for analyzing multi-response data from randomized block experiments

1982; Taylor & Francis; Volume: 11; Issue: 13 Linguagem: Inglês

10.1080/03610928208828319

ISSN

1532-415X

Autores

P.W. Mjelke, Hari Iyer,

Tópico(s)

Statistical Methods and Bayesian Inference

Resumo

Abstract A class of permutation techniques is presented for the randomized block design. This class is specifically devised for analyses involving multivariate data. A numerical example illustrates an application based on multivariate data. Many well known techniques are special cases of this class. Among these special cases are (i) the permutation version of the classical univariate technique for randomized blocks which 1s associated with analysis of variance, (ii) the Friedman randomized block test, (iii) one-sample matched-pair tests, (iv) the Pearson correlation measure, and (v) the Spearman rank correlation and foot-rule measures. Furthermore, variations and multivariate versions among this class suggest a variety of new techniques which have not received any previous attention. Keywords: alignmentANOVAFriedman two-way ANOVAKendall coefficient of concordanceMANOVAmatched pairsMRPPmultivariate datanonparametric testsPearson correlation coefficientSpcarman footrule statistic

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