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

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition Julian J. Faraway ebook
Page: 417
Publisher: Taylor & Francis
ISBN: 9781498720960
Format: pdf

R acts as an alternative to traditional statistical packages such as SPSS, SAS, and Introductory Statistics with R (2nd edition). Extending the Linear Model with R:Generalized Linear, Mixed Effects and An R and S-Plus Companion to AppliedRegression. As a sequel to Linear models with R, the textbook provides the R 2.2.0 code for reproducing the data… See more Annotation © 2006 Book News, Inc., Portland, OR. January 2007, Volume 17, Book Review 4. Boca Raton, FL: Chapman & Hall/CRC. Extending the Linear Model with R: Generalized Linear, Mixed Effects andNonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science). The books“Linear Models in R”and“Extending the Linear Model with R”by Julian J. Extending the Linear Model with R: Generalized Linear, Mixed Effects andNonparametric Regression Models / Edition 1. Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models. Linear Models with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) £50.40 Books on regression and the analysis of variance abound― many are introductory, many are theoretical. This book provides a well-stocked toolbox of methodologies, and with its unique R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Linear Models with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) Extending the Linear Model with R: Generalized Linear, Mixed Effectsand Linear, Mixed Effects and Nonparametric Regression Models, Second.