The subject of this book is to introduce a novel permutation-based nonparametric approach for the problem of ranking several multivariate populations using data coming from both experimental and observation studies to be referred to some of the most useful designs widely applied by research and industry investigations such as MANOVA, i.e. multivariate independent samples and MRCB - multivariate randomized complete block design, i.e. multivariate dependent samples also known as repeated measures.

Ranking of Multivariate Populations: A Permutation Approach with Applications

CORAIN, Livio;ARBORETTI GIANCRISTOFARO, Rosa;BONNINI, Stefano
2016

Abstract

The subject of this book is to introduce a novel permutation-based nonparametric approach for the problem of ranking several multivariate populations using data coming from both experimental and observation studies to be referred to some of the most useful designs widely applied by research and industry investigations such as MANOVA, i.e. multivariate independent samples and MRCB - multivariate randomized complete block design, i.e. multivariate dependent samples also known as repeated measures.
2016
978-1-4665-0554-4
Ranking, Multivariate, Manova, Permutation test, Nonparametric statistics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2365872
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