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 also been included in this new edition.
Product details
Publisher : Chapman and Hall/CRC; 2nd edition (10 Jun. 2024)
Language : English
Hardcover : 466 pages
ISBN-10 : 0367651351
ISBN-13 : 978-0367651350
Dimensions : 15.6 x 2.54 x 23.39 cm
Best Sellers Rank: 5,455,076 in Books (See Top 100 in Books)
81,678 in Popular Mathematics
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