Generalized linear models - an applied approach; Ulf Olsson; 2002

Generalized linear models - an applied approach Upplaga 1

av Ulf Olsson
Although the approach is applied, the basic theory of generalized linear models is presented in a compact way. The exponential family of distributions, response variables as continuous variables and Maximum Likelihood estimation and ways of assessing the fit of the model are discussed. Theory and applications of a more complex nature, like quasi-likelihood procedures, repeated measures models, mixed models and analysis of survival data, is also covered. Läs mer om boken på studentlitteratur.se
Although the approach is applied, the basic theory of generalized linear models is presented in a compact way. The exponential family of distributions, response variables as continuous variables and Maximum Likelihood estimation and ways of assessing the fit of the model are discussed. Theory and applications of a more complex nature, like quasi-likelihood procedures, repeated measures models, mixed models and analysis of survival data, is also covered. Läs mer om boken på studentlitteratur.se
Upplaga: 1a upplagan
Utgiven: 2002
ISBN: 9789144041551
Förlag: Studentlitteratur Ab,sweden
Format: Häftad
Språk: Engelska
Sidor: 232 st
Although the approach is applied, the basic theory of generalized linear models is presented in a compact way. The exponential family of distributions, response variables as continuous variables and Maximum Likelihood estimation and ways of assessing the fit of the model are discussed. Theory and applications of a more complex nature, like quasi-likelihood procedures, repeated measures models, mixed models and analysis of survival data, is also covered. Läs mer om boken på studentlitteratur.se
Although the approach is applied, the basic theory of generalized linear models is presented in a compact way. The exponential family of distributions, response variables as continuous variables and Maximum Likelihood estimation and ways of assessing the fit of the model are discussed. Theory and applications of a more complex nature, like quasi-likelihood procedures, repeated measures models, mixed models and analysis of survival data, is also covered. Läs mer om boken på studentlitteratur.se
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