<p><strong>Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)<br/></strong>Julian J.Faraway | Chapman &amp; Hall/CRC | ISBN: 158488424X | 2005-12-20 | PDF | 312 pages | 3.31 MB </p><p>Preface<br/>Contents<br/>1 Introduction<br/>2 Binomial Data<br/>3 Count Regression<br/>4 Contingency Tables<br/>5 Multinomial Data<br/>6 Generalized Linear Models<br/>7 Other GLMs<br/>8 Random Effects<br/>9 Repeated Measures and Longitudinal Data<br/>10 Mixed Effect Models for Nonnormal Responses<br/>11 Nonparametric Regression<br/>12 Additive Models<br/>13 Trees<br/>14 Neural Networks<br/>Appendix A<br/>Appendix B<br/>Bibliography<br/>Index<br/></p><br/>

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