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-sam...

Full description

Bibliographic Details

Main Authors:	Kloke, John (Author), McKean, Joseph W., 1944- (Author)
Format:	Book
Language:	English
Published:	Boca Raton, FL : CRC Press, 2024.
Edition:	Second edition.
Series:	Texts in statistical science.
Subjects:	Nonparametric statistics. R (Computer program language) Statistique non paramétrique. R (Langage de programmation)
Summary:	"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"--