Nonparametric Statistical Methods Using R
English | 2024 | ISBN: 0367651351 | 618 Pages | EPUB | 7 MB
English | 2024 | ISBN: 0367651351 | 618 Pages | EPUB | 7 MB
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.