Generalized Linear Models and Extensions 4th Ed - James W Hardin - PBK - VGC

Taylor & Francis

Generalized Linear Models and ExtensionsFourth Edition\nAuthor(s): James W. Hardin, Joseph M. Hilbe\nFormat: Paperback\nPublisher: Stata Press, United States\nImprint: Stata Press\nISBN-13: 9781597182256, 978-1597182256\nSynopsis\nGeneralized linear models (GLMs) extend linear regression to models with a non-Gaussian, or even discrete, response. GLM theory is predicated on the exponential family of distributionsa class so rich that it includes the commonly used logit, probit, and Poisson models. Although one can fit these models in Stata by using specialized commands (for example, logit for logit models), fitting them as GLMs with Statas glm command offers some advantages. For example, model diagnostics may be calculated and interpreted similarly regardless of the assumed distribution.\n\nThis text thoroughly covers GLMs, both theoretically and computationally, with an emphasis on Stata. The theory consists of showing how the various GLMs are special cases of the exponential family, .