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Loss Models: From Data to Decisions
Abstract
Preface. Acknowledgments. PART I: INTRODUCTION. 1. Modeling. PART II: ACTUARIAL MODELS. 2. Random Variables. 3. Basic Distributional Quantities. 4. Classifying and Creating Distributions. 5. Frequency and Severity with Coverage Modifications. 6. Aggregate Loss Models. 7. Discrete Time Ruin Models. 8. Continuous Time Ruin Models. PART III: CONSTRUCTION OF EMPIRICAL MODELS. 9. Review of Mathematical Statistics. 10. Estimation for Complete Data. 11. Estimation for Modified Data. PART IV: PARAMETRIC STATISTICAL METHODS. 12. Parameter Estimation. 13. Model Selection. 14. Five Examples. PART V: ADJUSTED ESTIMATES AND SIMULATION. 15. Interpolation and Smoothing. 16. Credibility. 17. Simulation. Appendix A: An Inventory of Continuous Distributions. Appendix B: An Inventory of Discrete Distributions. Appendix C: Frequency and Severity Relationships. Appendix D: The Recursive Formula. Appendix E: Discretization of the Serverity Distribution. Appendix F: Numerical Optimization and Solution of Systems. References. Index.
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Metadata
- Authors
- Broffitt, J. D., Klugman, S. A., Panjer, H. H., & Willmot, G. E.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1999-03
- Volume
- 94
- Issue
- 445
- Pages
- 341
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2084361475
- Cited by
- 1,233
- References
- 0
- FWCI
- 34.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Broffitt, J. D., Klugman, S. A., Panjer, H. H., & Willmot, G. E. (1999). Loss Models: From Data to Decisions. Journal of the American Statistical Association. https://doi.org/10.2307/2669713
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