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Generalized Linear Models and Extensions

James W. Hardin

4/5 ( ratings)

This book presents a thorough examination of generalized linear model 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.

Language: English

Pages: 479

Format: Paperback

Publisher: Stata Press

Release: June 04, 2012

ISBN: 1597181056

ISBN 13: 9781597181051

Generalized Linear Models and Extensions

James W. Hardin

4/5 ( ratings)

This book presents a thorough examination of generalized linear model 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.

Language: English

Pages: 479

Format: Paperback

Publisher: Stata Press

Release: June 04, 2012

ISBN: 1597181056

ISBN 13: 9781597181051

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