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This title presents a novel presentation of rank and permutation tests, with accessible guidance to applications in R. The book provides a guide to solving the many statistical problems related to both experimental and observational studies that can arise in many scientific disciplines such as engineering, biology, medicine, veterinary, geology, economics, demography, and many other social and non social sciences.

Ranking of Multivariate Populations: A Permutation Approach with Applications 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, such as multivariate analysis of variance (MANOVA) and multivariate randomized complete block (MRCB) designs.

The first section of the book introduces the topic of ranking multivariate populations by presenting the...