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. The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice--
| Author: John Kloke, Joseph W. McKean |
| Publisher: CRC Press |
| Publication Date: May 20, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 0367651351 |
| ISBN-13: 9780367651350 |
