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Chapman Hall

Nonparametric Statistical Methods Using R | Statistics

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Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics but wants a reference for how to apply those techniques in R.”-The American Statistician This thoroughly updated and expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics including k-nearest neighbors and trees have a…

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