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Permutation Tests for Stochastic Ordering and ANOVA

Theory and Applications with R

  • Book
  • © 2009

Overview

  • Easy to understand multivariate methods for testing for a trend and for complex experimental designs
  • Availability of R functions for all multivariate testing problems
  • Easy to understand treatment of ordinal and continuous data
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Statistics (LNS, volume 194)

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Table of contents (7 chapters)

  1. Stochastic Ordering

  2. Part I Stochastic Ordering

  3. Nonparametric ANOVA

  4. Part II Nonparametric ANOVA

Keywords

About this book

Permutation testing for multivariate stochastic ordering and ANOVA designs is a fundamental issue in many scientific fields such as medicine, biology, pharmaceutical studies, engineering, economics, psychology, and social sciences. This book presents new advanced methods and related R codes to perform complex multivariate analyses. The prerequisites are a standard course in statistics and some background in multivariate analysis and R software.

Reviews

From the reviews:

“…Contributions to the permutation test literature are useful and handy…This latest…, from the camp of established leaders in this field, is no exception…Overall, this is an excellent book that should be read… widely, instead of just by those researchers working with permutations methods… A serious book that would make an excellent contribution to the professional library of any serious statistician, whether or not this statistician has previously used permutation tests.” (Biometrics)

“Students in courses on permutation methods and theoretical or applied statisticians interested in permutation methods. … The text contains the necessary formulas and algorithms for those who want to study the theoretical foundation of the methods that are presented, but also examples … are useful for the more applied statistician. … The book could be used as a textbook for an advanced course in statistics covering these subjects or as a reference book for theoretical or applied statisticians interested in permutation tests.” (Andreas Rosenblad, International Statistical Review, Vol. 78 (3), 2010)

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