Nonparametric Statistical Methods Using R Hardback
by John Kloke, Joseph McKean
Part of the Chapman & Hall/CRC Texts in Statistical Science series
Hardback
Description
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 StatisticianThis 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. Key Features:Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type. Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate. Numerous examples illustrate the methods and their computation. R packages are available for computation and datasets. Contains two completely new chapters on big data and multivariate analysis. 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.
Information
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Pre-Order
- Format:Hardback
- Pages:480 pages, 25 Tables, black and white; 92 Line drawings, black and white; 92 Illustrations, black an
- Publisher:Taylor & Francis Ltd
- Publication Date:20/05/2024
- Category:
- ISBN:9780367651350
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Information
-
Pre-Order
- Format:Hardback
- Pages:480 pages, 25 Tables, black and white; 92 Line drawings, black and white; 92 Illustrations, black an
- Publisher:Taylor & Francis Ltd
- Publication Date:20/05/2024
- Category:
- ISBN:9780367651350
