Generalized Linear Models

A Unified Approach

Jefferson M. Gill (Autor)

Buch | Softcover

112 Seiten

2000
SAGE Publications Inc (Verlag)
978-0-7619-2055-7 (ISBN)

Infos

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.

Autor

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).

Inhalt

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

Produkt-Details

• Erscheint lt. Verlag: 20.9.2000
• Reihe/Serie: Quantitative Applications in the Social Sciences
• Verlagsort: Thousand Oaks
• Sprache: englisch
• Maße: 139 x 215 mm
• Gewicht: 140 g
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• ISBN-10: 0-7619-2055-2 / 0761920552
• ISBN-13: 978-0-7619-2055-7 / 9780761920557
• Zustand: Neuware