Loss Data Analysis
eBook - ePub

Loss Data Analysis

The Maximum Entropy Approach

  1. 222 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Loss Data Analysis

The Maximum Entropy Approach

Book details
Table of contents
Citations

About This Book

This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences.

On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems.

The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable.

Contents
Introduction
Frequency models
Individual severity models
Some detailed examples
Some traditional approaches to the aggregation problem
Laplace transforms and fractional moment problems
The standard maximum entropy method
Extensions of the method of maximum entropy
Superresolution in maxentropic Laplace transform inversion
Sample data dependence
Disentangling frequencies and decompounding losses
Computations using the maxentropic density
Review of statistical procedures

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Yes, you can access Loss Data Analysis by Henryk Gzyl, Silvia Mayoral, Erika Gomes-Gonçalves in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2023
ISBN
9783111049700
Edition
2

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. 1 Introduction
  5. 2 Frequency models
  6. 3 Individual severity models
  7. 4 Some detailed examples
  8. 5 Some traditional approaches to the aggregation problem
  9. 6 Laplace transforms and fractional moment problems
  10. 7 The standard maximum entropy method
  11. 8 Extensions of the method of maximum entropy
  12. 9 Superresolution in maxentropic Laplace transform inversion
  13. 10 Sample data dependence
  14. 11 Disentangling frequencies and decompounding losses
  15. 12 Computations using the maxentropic density
  16. 13 A solution to the capital allocation problem
  17. 14 Review of statistical procedures
  18. Subject Index