Generalized Linear Models

1. Auflage 2000
ISBN: 978-0-7619-2055-7
Verlag: SAGE Publications, Inc

Buch, Englisch, Band 134, 112 Seiten, Format (B × H): 141 mm x 217 mm, Gewicht: 153 g

Reihe: Quantitative Applications in the Social Sciences

The author explains the theoretical underpinnings of generalized linear models so that researchers can decide how to select the best way to adapt their data for this type of analysis. Examples are provided to illustrate the application of GLM to actual data and the author includes his web address where additional resources can be found.

Autoren/Hrsg.

Gill, Jeff

Gill, Jefferson M.

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie

Inhaltsverzeichnis

Introduction
The Exponential Family
Likelihood Theory and the Moments
Linear Structure and the Link Function
Estimation Procedures
Residuals and Model Fit
Conclusion

Über Autor(innen)

Gill, Jefferson M.
Jeff Gill is a Distinguished Professor of Government, a Professor of Statistics, and a Member of the Center for Behavioral Neuroscience at American University. His research applies Bayesian modeling and data analysis (decision theory, testing, model selection, elicited priors) to questions in general social science quantitative methodology, political behavior and institutions, medical/health data analysis especially physiology, circulation/blood, pediatric traumatic brain injury, and epidemiological measurement/data issues, using computationally intensive tools (Monte Carlo methods, MCMC, stochastic optimization, nonparametrics).