Loss Models
eBook - PDF

Loss Models

Further Topics

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

About this book

An essential resource for constructing and analyzing advanced actuarial models 


Loss Models: Further Topics presents extended coverage of modeling through the use of tools related to risk theory, loss distributions, and survival models. The book uses these methods to construct and evaluate actuarial models in the fields of insurance and business. Providing an advanced study of actuarial methods, the book features extended discussions of risk modeling and risk measures, including Tail-Value-at-Risk. Loss Models: Further Topics contains additional material to accompany the Fourth Edition of Loss Models: From Data to Decisions, such as:

  • Extreme value distributions
  • Coxian and related distributions
  • Mixed Erlang distributions
  • Computational and analytical methods for aggregate claim models
  • Counting processes
  • Compound distributions with time-dependent claim amounts
  • Copula models
  • Continuous time ruin models
  • Interpolation and smoothing

The book is an essential reference for practicing actuaries and actuarial researchers who want to go beyond the material required for actuarial qualification. Loss Models: Further Topics is also an excellent resource for graduate students in the actuarial field.

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Yes, you can access Loss Models by Stuart A. Klugman,Harry H. Panjer,Gordon E. Willmot in PDF and/or ePUB format, as well as other popular books in Economics & Finance. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2013
Print ISBN
9781118343562
eBook ISBN
9781118573686
Edition
1
Subtopic
Finance

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. CONTENTS
  5. Preface
  6. 1 Introduction
  7. 2 Coxian and related distributions
  8. 3 Mixed Erlang distributions
  9. 4 Extreme value distributions
  10. 5 Analytic and related methods for aggregate claim models
  11. 6 Computational methods for aggregate models
  12. 7 Counting Processes
  13. 8 Discrete Claim Count Models
  14. 9 Compound distributions with time dependent claim amounts
  15. 10 Copula models
  16. 11 Continuous-time ruin models
  17. 12 Interpolation and smoothing
  18. A An inventory of continuous distributions
  19. B An inventory of discrete distributions
  20. C Discretization of the severity distribution
  21. D Solutions to Exercises
  22. References
  23. Index