James W Hardin, Joseph M Hilbe

Generalized Linear Models and Extensions

Fourth Edition

• Broschiertes Buch

Produktbeschreibung

Generalized linear models (GLMs) extend linear regression to models with a non-Gaussian, or even discrete, response. This 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.

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Produktdetails

• Verlag: Stata Press
• 4th edition
• Seitenzahl: 598
• Erscheinungstermin: 27. April 2018
• Englisch
• Abmessung: 238mm x 182mm x 40mm
• Gewicht: 1237g
• ISBN-13: 9781597182256
• ISBN-10: 1597182257
• Artikelnr.: 53167198

Autorenporträt

James W. Hardin is a professor and the Biostatistics division head in the Department of Epidemiology and Biostatistics at the University of South Carolina. He is also the associate dean for Faculty Affairs and Curriculum of the Arnold School of Public Health at the University of South Carolina. Joseph M. Hilbe was a professor emeritus at the University of Hawaii and an adjunct professor of sociology and statistics at Arizona State University.

Inhaltsangabe

Foundations of Generalized Linear Models. GLMs. GLM estimation algorithms.
Analysis of fit. Continuous Response Models. The Gaussian family. The gamma
family. The inverse Gaussian family. The power family and link. Binomial
Response Models. The binomial¿logit family. The general binomial family.
The problem of overdispersion. Count Response Models. The Poisson family.
The negative binomial family. Other count-data models. Multinomial Response
Models. Unordered-response family. The ordered-response family. Extensions
to the GLM. Extending the likelihood. Clustered data. Bivariate and
multivariate models. Bayesian GLMs. Stata Software. Programs for Stata.
Data synthesis.