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Generalized linear models and extensions

by James W. Hardin | 13 July 2012
Category: Mathematics
Synopsis
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.
€0.00 RRP €72.99
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Synopsis
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.
€0.00 RRP €72.99
0 Reward Points
Currently out of stock
Delivery in 5-7 Days

Product Details

ISBN - 9781597181051
Format -
Publisher -
Published - 13/07/2012
Categories - All, Books, Science and Nature, Science, Mathematics
No. of Pages - 479
Weight - 2.16
Edition - 3rd Edition
Series - - Not Available
Page Size - 24
Language - en-US
Readership Age - Not Available
Table of Contents - Not Available

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