Handbook of Regression Analysis With Applications in R - Wiley Series in Probability and Statistics

Handbook and reference guide for students and practitioners of statistical regression-based analyses in R  Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors' thorough treatment of "classical" regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data.   The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include:  Regularization methods  Smoothing methods  Tree-based methods  In the new edition of the Handbook, the data analyst's toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website.  Of interest to undergraduate and graduate students taking courses in statistics and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians. 

ISBN:	9781119392378
Publisher:	Wiley
Imprint:	John Wiley & Sons, Inc.
Published date:	02 Oct 2020
DEWEY:	519.536
DEWEY edition:	23
Language:	English
Number of pages:	384
Weight:	726g
Height:	161mm
Width:	239mm
Spine width:	24mm

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