Description: Extending the Linear Model With R : Generalized Linear, Mixed Effects and Nonparametric Regression Models, Hardcover by Faraway, Julian J., ISBN 149872096X, ISBN-13 9781498720960, Like New Used, Free shipping in the US Faraway surveys statistical techniques that grow from a linear model, describing three extensions. A practicing statistician needs to be aware of and familiar with the basic use of a broad range of ideas and techniques, he says, so here he privileges breadth over depth. He covers binary response, binomial and proportion responses, variations on logistic regression, count regression, contingency tables, multinomial data, generalized linear models, random effects, repeated measures and longitudinal data, Bayesian mixed effect models, mixed effect models for non-normal responses, nonparametric regression, additive models, trees, and neural networks. Annotation ©2016 Ringgold, Inc., Portland, OR ()
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Book Title: Extending the Linear Model With R : Generalized Linear, Mixed Eff
Number of Pages: 399 Pages
Language: English
Publication Name: Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
Publisher: CRC Press LLC
Item Height: 1 in
Publication Year: 2016
Subject: Probability & Statistics / General, Probability & Statistics / Regression Analysis
Type: Textbook
Item Weight: 24.1 Oz
Subject Area: Mathematics
Author: Julian J. Faraway
Item Length: 9.5 in
Item Width: 6.4 in
Series: Chapman and Hall/Crc Texts in Statistical Science Ser.
Format: Mixed Lot
