Generalized Linear Models and Extensions, 4th edition

 Generalized Linear Models and Extensions, 4th edition
Generalized Linear Models and Extensions, 4th edition

J Hardin and J Hilbe

The fourth edition of Generalised Linear Models and Extensions gives a comprehensive overview of the nature and scope of generalised linear models (GLMS) and of the major changes to the basic GLM algorithm that allow modelling of data that violate GLM distribution or assumptions. The text stands out in its coverage of the derivation of the GLM families and their foremost links, but it also guides the reader in applying the various models to real data. This edition has new sections on bivariate and multi-variate models including bivariate count data models estimated via copula functions and models based on bivariate distribution put forward by Famoye and by Marshall and Olkin.

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