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Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition

Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition

Auteur UQAM

Faraway, Julian J.


Éditeur : CRC PRESS
ISBN papier: 9781498720960
Parution : 2018
Code produit : 1362265
Catégorisation : Livres / Science / Mathématique / Mathématiques

Formats disponibles

Format Qté. disp. Prix* Commander
Livre papier En rupture de stock** Prix membre : 139,90 $
Prix non-membre : 139,90 $
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*Les prix sont en dollars canadien. Taxes et frais de livraison en sus.
**Ce produits est en rupture de stock mais sera expédié dès qu'ils sera disponible.




Description

Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Editiontakes advantage of the greater functionality now available in R and substantially revises and adds several topics. New to the Second Edition •Expanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models •New sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs) •Revised chapters on random effects and repeated measures that reflect changes in the lme4 package and show how to perform hypothesis testing for the models using other methods •New chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA •Revised chapter on generalized linear mixed models to reflect the much richer choice of fitting software now available •Updated coverage of splines and confidence bands in the chapter on nonparametric regression •New material on random forests for regression and classification •Revamped R code throughout, particularly the many plots using the ggplot2 package •Revised and expanded exercises with solutions now included Demonstrates the Interplay of Theory and Practice This textbook continues to cover a range of techniques that grow from the linear regression model. It presents three extensions to the linear framework: GLMs, mixed effect models, and nonparametric regression models. The book explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses.

Du même auteur...

Livre papier 0 Prix membre : 127,68 $
Prix non-membre : 134,40 $
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Linear Models with R, Second Edition

Éditeur : CRC PRESS
ISBN : 9781439887332
Parution : 2018