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This book presents a novel permutation-based nonparametric approach for ranking several multivariate populations. Using data collected from both experimental and observation studies, it covers some of the most useful designs widely applied in research and industry investigations. The book introduces the main theoretical ideas of ranking multivariate populations as well as an in-depth literature review. It also discusses real case studies from four specific research areas and describes web-based software for solving these application problems.
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