Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance
eBook - PDF

Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance

About this book

Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for seasoned practicing analysts as well as those just starting out.

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Yes, you can access Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance by Edward W. Frees,Glenn Meyers,Richard A. Derrig in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Contributors
  8. Preface
  9. Acknowledgments
  10. 1 Pure Premium Modeling Using Generalized Linear Models
  11. 2 Applying Generalized Linear Models to Insurance Data: Frequency/Severity versus Pure Premium Modeling
  12. 3 Generalized Linear Models as Predictive Claim Models
  13. 4 Frameworks for General Insurance Ratemaking: Beyond the Generalized Linear Model
  14. 5 Using Multilevel Modeling for Group Health Insurance Ratemaking: A Case Study from the Egyptian Market
  15. 6 Clustering in General Insurance Pricing
  16. 7 Application of Two Unsupervised Learning Techniques to Questionable Claims: PRIDIT and Random Forest
  17. 8 The Predictive Distribution of Loss Reserve Estimates over a Finite Time Horizon
  18. 9 Finite Mixture Model and Workers' Compensation Large-Loss Regression Analysis
  19. 10 A Framework for Managing Claim Escalation Using Predictive Modeling
  20. 11 Predictive Modeling for Usage-Based Auto Insurance
  21. Index