Computational Probability
eBook - PDF

Computational Probability

The Proceedings of the Actuarial Research Conference on Computational Probability Held at Brown University, Providence, Rhode Island, on August 28-30, 1975

  1. 352 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Computational Probability

The Proceedings of the Actuarial Research Conference on Computational Probability Held at Brown University, Providence, Rhode Island, on August 28-30, 1975

About this book

Computational Probability is a collection of papers presented at the Actuarial Research Conference on Computational Probability and related topics, held at Brown University on August 28-30, 1975. This 19-chapter book explores the development of computational techniques in probability and statistics and their application to problems in insurance. It covers six general topics, including computational probability, computational statistics, computational risk theory, analysis of algorithms, numerical methods, and notation and computation. Applications covered both life and nonlife insurance. This book will prove useful to applied mathematicians, statisticians, and computer scientists.

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Yes, you can access Computational Probability by P. M. Kahn in PDF and/or ePUB format, as well as other popular books in Business & Insurance. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780123946805
eBook ISBN
9781483273617
Topic
Business
Subtopic
Insurance
Index
Business

Table of contents

  1. Front Cover
  2. Computational Probability
  3. Copyright Page
  4. Table of Contents
  5. Contributors
  6. Preface
  7. Chapter 1. Some Ideas in Computational Probability
  8. Chapter 2. Computational Problems Related to the Galton— Watson Press
  9. Chapter 3. Central Limit Analogues for Markov Population Processes
  10. Chapter 4. The Stochastic Nature of Pension Costs
  11. Chapter 5. An Approximation Method to Calculate the Value of a Maturity Guarantee under a Level-Premium Equity-Based Contract
  12. Chapter 6. Efficient Sorting by Computer: An Introduction
  13. Chapter 7. Symbolic Information Pressing
  14. Chapter 8. APL for Actuaries
  15. Chapter 9. Backward Population Projection by a Generalized Inverse
  16. Chapter 10. Accounting Principles for Life Insurance: Reflections on Language and Notation
  17. Chapter 11. Reversionary Annuities as Applied to the Evaluation of Law Amendment Factors
  18. Chapter 12. Nonlife Business and Inflation
  19. Chapter 13. Numerical Fourier Inversion
  20. Chapter 14. Some Practical Considerations in Connection with the Calculation of Stop-Loss Premiums
  21. Chapter 15. Simulation of a Multirisk Collective Model
  22. Chapter 16. Experimental Computation
  23. Chapter 17. Partitioning for Homogeneity
  24. Chapter 18. Correlates of Life Insurance Lapsation
  25. Chapter 19. Some Practical Notes about Solving the Lundberg Risk Equation