Nonparametric Statistical Methods Using R

They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics.

Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data. The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R.

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Nonparametric Statistical Methods Using R
Language: en
Pages: 287
Authors: John Kloke, Joseph W. McKean
Categories: Mathematics
Type: BOOK - Published: 2014-10-09 - Publisher: CRC Press

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation.
Nonparametric Statistical Methods Using R
Language: en
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Type: BOOK - Published: 2019-05-19 - Publisher: Scientific e-Resources

Nonparametric Statistical Methods Using R covers customary nonparametric methods and rank-based examinations, including estimation and deduction for models running from straightforward area models to general direct and nonlinear models for uncorrelated and corresponded reactions. The creators underscore applications and measurable calculation. They represent the methods with numerous genuine and mimicked
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Language: en
Pages: 287
Authors: John Kloke, Joseph W. McKean
Categories: Mathematics
Type: BOOK - Published: 2014-10-09 - Publisher: CRC Press

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Language: en
Pages: 553
Authors: Thomas P. Hettmansperger, Joseph W. McKean
Categories: Mathematics
Type: BOOK - Published: 2010-12-20 - Publisher: CRC Press

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