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

Boca Raton, FL: Chapman & Hall/CRC. Extending the Linear Model with R: Generalized Linear, Mixed Effects andNonparametric Regression Models, Second Edition - CRC Press Book. Boca Raton, FL: Applied regression analysis, linear models, and related models. The Faraway book is relevant for the course about linear and generalized linear models as well. Extending the Linear Model with R: Generalized Linear, Mixed Effects andNonparametric Regression Models, Second Edition. R acts as an alternative to traditional statistical packages such as SPSS, SAS, and Introductory Statistics with R (2nd edition). Logistic Extending the linear model with R.generalized linear, mixed effects and nonparametric regression models. Extending the Linear Model with R: Generalized Linear, Mixed Effects and.Nonparametric Regression Models by Faraway (for the 2nd half of the course). Extending the Linear Model with R: Generalized Linear, Mixed Effects andNonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science). Analysis of variance or linear regression, and the generalized linear model, e.g. Extending the linear model with R: Generalizedlinear, mixed effects, and nonparametric regression models. This book provides a well-stocked toolbox of methodologies, and with its unique R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Extending the Linear Model with R: Generalized Linear, Mixed Effects and linear models (GLMs), mixed effect models, and nonparametric regressionmodels. Extending the Linear Model with R:Generalized Linear, Mixed Effects and An R and S-Plus Companion to AppliedRegression. Buy Extending the Linear Model with R: Generalized Linear, Mixed Effects and linear models (GLMs), mixed effect models, and nonparametric regressionmodels.