NONPARAMETRIC STATISTICAL METHODS USING R by John Kloke, Joseph W. McKean ( 9781439873434 )

Item Details

Title:

NONPARAMETRIC STATISTICAL METHODS USING R

By:

Format:

Hardback

List price:	£84.99
We believe that this item is permanently unavailable, and so we cannot source it.

ISBN 10:

1439873437

ISBN 13:

9781439873434

Publisher:

TAYLOR & FRANCIS LTD

Pub. date:

2 October, 2014

Series:

Chapman & Hall/CRC The R Series

Pages:

287

Synopsis:

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.

Illustrations:

58 black & white illustrations, 13 black & white tables

Publication:

Imprint:

Chapman & Hall/CRC

Returns:

Returnable

Some other items by this author:

A PLEA FOR FRIENDSHIP AND PATRIOTISM