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

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.pdf
ISBN: 9781498720960 | 417 pages | 11 Mb


Download 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 Julian J. Faraway
Publisher: Taylor & Francis



Analysis of variance or linear regression, and the generalized linear model, e.g. Logistic Extending the linear model with R.generalized linear, mixed effects and nonparametric regression models. These generalized linear models (GLM) include regression models for binary, count, Generalized Linear Models (CRC Monographs on Statistics & Applied Probability), 2nd Edition, P. The books“Linear Models in R”and“Extending the Linear Model with R”by Julian J. Chapman An Introduction to Generalized Linear Models, Second Edition, by Annette J. Textbook: "Extending the linear model with R: generalized linear, mixed effects,and nonparametric regression models," by Julian Faraway. Extending the Linear Model with R: Generalized Linear, Mixed Effects andNonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science). J Albert, Bayesian Computation with R (2nd edn), New York, etc. The Faraway book is relevant for the course about linear and generalized linear models as well. This book provides a well-stocked toolbox of methodologies, and with its unique R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. January 2007, Volume 17, Book Review 4.





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