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Generalized Linear Models and Extensions, Third Edition

By James W. Hardin, Joseph M. Hilbe

Stata Press – 2012 – 479 pages

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    978-1-59718-105-1
    June 3rd 2012

Description

This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models that have been developed on the basis of GLM theory, including GAM, ordered binomial models, multinomial logit and probit models, GEE and other quasi-likelihood models, fixed and random effects models, and random intercept and random parameter models. Using Stata, the book offers numerous examples to assist you in applying the models to your own data situations.

Contents

Foundations of Generalized Linear Models. Continuous Response Models. Binomial Response Models. Count Response Models. Multinomial Response Models. Extensions to the GLM. Stata Software. Tables. References. Author Index. Subject Index.

Name: Generalized Linear Models and Extensions, Third Edition (Paperback)Stata Press 
Description: By James W. Hardin, Joseph M. Hilbe. This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative...
Categories: Statistical Theory & Methods, Statistical Computing, Statistics for the Biological Sciences