Julian J. Faraway

Extending the Linear Model with R (eBook, PDF)

Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition

• Format: PDF

Produktbeschreibung

This second edition of a bestseller takes advantage of the greater functionality now available in R and substantially revises and adds several topics. It expands coverage of binary and binomial responses, incorporates many new sections, and adds a chapter on the Bayesian analysis of mixed effect models. It also revamps the R code throughout and updates the exercises, with solutions now included. The text explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 413
• Erscheinungstermin: 23. März 2016
• Englisch
• ISBN-13: 9781498720984
• Artikelnr.: 48627529

Autorenporträt

Julian J. Faraway is a professor of statistics in the Department of Mathematical Sciences at the University of Bath. His research focuses on the analysis of functional and shape data with particular application to the modeling of human motion. He earned a PhD in statistics from the University of California, Berkeley.

Inhaltsangabe

Introduction. Binary Response. Binomial and Proportion Responses.
Variations on Logistic Regression. Count Regression. Contingency Tables.
Multinomial Data. Generalized Linear Models. Other GLMS. Random Effects.
Repeated Measures and Longitudinal Data. Bayesian Mixed Effect Models.
Mixed Effect Models for Nonnormal Responses. Nonparametric Regression.
Additive Models. Trees. Neural Networks. Appendices. Bibliography. Index.