Book contents
- Frontmatter
- Contents
- Contributors
- Preface
- Acknowledgments
- 1 Pure Premium Modeling Using Generalized Linear Models
- 2 Applying Generalized Linear Models to Insurance Data: Frequency/Severity versus Pure Premium Modeling
- 3 Generalized Linear Models as Predictive Claim Models
- 4 Frameworks for General Insurance Ratemaking: Beyond the Generalized Linear Model
- 5 Using Multilevel Modeling for Group Health Insurance Ratemaking: A Case Study from the Egyptian Market
- 6 Clustering in General Insurance Pricing
- 7 Application of Two Unsupervised Learning Techniques to Questionable Claims: PRIDIT and Random Forest
- 8 The Predictive Distribution of Loss Reserve Estimates over a Finite Time Horizon
- 9 Finite Mixture Model and Workers’ Compensation Large-Loss Regression Mixture Model and Workers’ Compensation Large-Loss Regression Analysis
- 10 A Framework for Managing Claim Escalation Using Predictive Modeling
- 11 Predictive Modeling for Usage-Based Auto Insurance
- Index
Contents
Published online by Cambridge University Press: 05 August 2016
Book contents
- Frontmatter
- Contents
- Contributors
- Preface
- Acknowledgments
- 1 Pure Premium Modeling Using Generalized Linear Models
- 2 Applying Generalized Linear Models to Insurance Data: Frequency/Severity versus Pure Premium Modeling
- 3 Generalized Linear Models as Predictive Claim Models
- 4 Frameworks for General Insurance Ratemaking: Beyond the Generalized Linear Model
- 5 Using Multilevel Modeling for Group Health Insurance Ratemaking: A Case Study from the Egyptian Market
- 6 Clustering in General Insurance Pricing
- 7 Application of Two Unsupervised Learning Techniques to Questionable Claims: PRIDIT and Random Forest
- 8 The Predictive Distribution of Loss Reserve Estimates over a Finite Time Horizon
- 9 Finite Mixture Model and Workers’ Compensation Large-Loss Regression Mixture Model and Workers’ Compensation Large-Loss Regression Analysis
- 10 A Framework for Managing Claim Escalation Using Predictive Modeling
- 11 Predictive Modeling for Usage-Based Auto Insurance
- Index
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- Information
- Predictive Modeling Applications in Actuarial Science , pp. vii - xPublisher: Cambridge University PressPrint publication year: 2016