Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science) at Meripustak

Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science)

Books from same Author: John Kloke And Joseph Mckean

Books from same Publisher: Crc Press

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  • General Information  
    Author(s)John Kloke And Joseph Mckean
    PublisherCrc Press
    Edition2nd Edition
    ISBN9780367651350
    Pages480
    BindingHardcover
    LanguageEnglish
    Publish YearMay 2024

    Description

    Crc Press Nonparametric Statistical Methods Using R (Chapman & Hall/CRC Texts in Statistical Science) by John Kloke And Joseph Mckean

    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.