Actuarial Loss Models
eBook - ePub

Actuarial Loss Models

A Concise Introduction

  1. 240 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Actuarial Loss Models

A Concise Introduction

About this book

Actuarial loss models are statistical models used by insurance companies to estimate the frequency and severity of future losses, set premiums, and reserve funds to cover potential claims. Actuarial loss models are a subject in actuarial mathematics that focus on the pricing and reserving for short-term coverages.

This is a concise textbook written for undergraduate students majoring in actuarial science who wish to learn the basics of actuarial loss models. This book can be used as a textbook for a one-semester course on actuarial loss models. The prerequisite for this book is a first course on calculus. The reader is supposed to be familiar with differentiation and integration.

This book covers part of the learning outcomes of the Fundamentals of Actuarial Mathematics (FAM) exam and the Advanced Short-Term Actuarial Mathematics (ASTAM) exam administered by the Society of Actuaries. It can be used by actuarial students and practitioners who prepare for the aforementioned actuarial exams.

Key Features:

  • Review core concepts in probability theory.
  • Cover important topics in actuarial loss models.
  • Include worked examples.
  • Provide both theoretical and numerical exercises.
  • Include solutions of selected exercises.

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Yes, you can access Actuarial Loss Models by Guojun Gan in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. Preface
  9. 1 Probability Theory
  10. 2 Frequency Models
  11. 3 Severity Models
  12. 4 Aggregate Loss Models
  13. 5 Coverage Modifications
  14. 6 Model Estimation
  15. 7 Model Selection
  16. 8 Credibility Models
  17. 9 Risk Measures
  18. I Appendix
  19. A Useful Results from Calculus
  20. B Special Functions
  21. C Normal Distribution Table
  22. D R Code
  23. E Solutions to Selected Exercises
  24. Bibliography
  25. List of Symbols
  26. Index