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Generalized Linear Models and Extensions, Second Edition

Generalized Linear Models and Extensions, Second Edition

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Authors: James W. Hardin, Joseph M. Hilbe
Publisher: Stata Press
Category: Book

List Price: $79.95
Buy New: $57.56
You Save: $22.39 (28%)



New (13) Used (3) from $57.56

Sales Rank: 673136

Media: Paperback
Edition: 2
Pages: 387
Number Of Items: 1
Shipping Weight (lbs): 1.8
Dimensions (in): 9.2 x 7.2 x 0.9

ISBN: 1597180149
Dewey Decimal Number: 519
EAN: 9781597180146

Publication Date: February 20, 2007
Shipping: Eligible for Super Saver Shipping
Availability: Usually ships in 24 hours

Accessories:

  • Generalized Linear Models, Second Edition (Monographs on Statistics and Applied Probability)
  • Multilevel and Longitudinal Modeling Using Stata, Second Edition
  • An Introduction to Generalized Linear Models, Third Edition (Texts in Statistical Science Series)

Similar Items:

  • Generalized Linear Models, Second Edition (Monographs on Statistics and Applied Probability)
  • Generalized Estimating Equations
  • Negative Binomial Regression
  • Regression Models for Categorical Dependent Variables Using Stata, Second Edition
  • Data Analysis Using Regression and Multilevel/Hierarchical Models

Editorial Reviews:

Product Description
Generalized Linear Models and Extensions, Second Edition provides a comprehensive overview of the nature and scope of generalized linear models (GLMs) and of the major changes to the basic GLM algorithm that allow modeling of data that violate GLM distributional assumptions. Deftly balancing theory and application, the book stands out in its coverage of the derivation of the GLM families and their foremost links, while also guiding readers in the application of the various models to real data. This edition has new sections on discrete response models, including zero-truncated, zero-inflated, censored, and hurdle count models, as well as heterogeneous negative binomial, generalized Poisson, and generalized binomial models. The book also includes a substantially expanded discussion of both proportional-odds and generalized ordered models, making it easy for readers to use these models in their own research.

 
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