Nonparametric Statistical Methods Using R

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