Book contents
- Frontmatter
- Contents
- Contributor List
- Acknowledgments
- 1 Predictive Modeling in Actuarial Science
- II Predictive Modeling Foundations
- 2 Overview of Linear Models
- 3 Regression with Categorical Dependent Variables
- 4 Regression with Count-Dependent Variables
- 5 Generalized Linear Models
- 6 Frequency and Severity Models
- II Predictive Modeling Methods
- III Bayesian and Mixed Modeling
- IV Longitudinal Modeling
- Index
- References
5 - Generalized Linear Models
from II - Predictive Modeling Foundations
Published online by Cambridge University Press: 05 August 2014
- Frontmatter
- Contents
- Contributor List
- Acknowledgments
- 1 Predictive Modeling in Actuarial Science
- II Predictive Modeling Foundations
- 2 Overview of Linear Models
- 3 Regression with Categorical Dependent Variables
- 4 Regression with Count-Dependent Variables
- 5 Generalized Linear Models
- 6 Frequency and Severity Models
- II Predictive Modeling Methods
- III Bayesian and Mixed Modeling
- IV Longitudinal Modeling
- Index
- References
Summary
- Type
- Chapter
- Information
- Predictive Modeling Applications in Actuarial Science , pp. 107 - 137Publisher: Cambridge University PressPrint publication year: 2014
References
- 2
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