Handbook of Regression Analysis With Applications in R

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Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2020-07-30

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Description

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.
Pages
384 pages
Collection
Wiley Series in Probability and Statistics
Parution
2020-07-30
Marque
Wiley
EAN papier
9781119392378
EAN PDF
9781119392477

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
384
Taille du fichier
7229 Ko
Prix
131,82 €
EAN EPUB
9781119392484

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
384
Taille du fichier
17500 Ko
Prix
131,82 €