Generalized Linear Models and Extensions

Hardin James W. Hilbe Joseph M.

ISBN 10: 1597181056 ISBN 13: 9781597181051

Editorial: Stata Press, 2012

Idioma: Ingl�s

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pp. 479 This item is printed on demand.

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Detalles bibliogr�ficos

T�tulo: Generalized Linear Models and Extensions
Editor: Stata Press
Fecha de publicaci�n: 2012
Idioma: Ingl�s
ISBN 10: 1597181056
ISBN 13: 9781597181051
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 3� Edici�n
Estado: New

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Sinopsis

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.

Rese�a del editor

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.

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