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Extending the Linear Model with R

Condition: BRAND NEW
ISBN: 9781498720960
Author(s): Julian J. Faraway
Format: Hardcover
Year: 2016
Edition: 2nd
Publisher: Taylor & Francis Inc
Dimensions: 156 x 25 x 235 (w x l x h)
Pages: 413
Series: Chapman & Hall/CRC Texts in Statistical Science
Series Number: 124

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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 Edition takes 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 ma Please click here to ask a question
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