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Loss Data Analysis : The Maximum Entropy Approach / Henryk Gzyl, Silvia Mayoral, and Erika Gomes-Gonçalves.

De Gruyter DG Plus DeG Package 2023 Part 1 Available online

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Format:
Book
Author/Creator:
Gzyl, Henryk, 1946- author.
Mayoral, Silvia, author.
Gomes-Gonçalves, Erika, author.
Series:
De Gruyter STEM.
De Gruyter STEM Series
Language:
English
Subjects (All):
Maximum entropy method.
Physical Description:
1 online resource (XII, 210 p.)
Edition:
Second edition.
Place of Publication:
Berlin, Germany : Walter de Gruyter GmbH, [2023]
Language Note:
In English.
Summary:
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. ContentsIntroductionFrequency modelsIndividual severity modelsSome detailed examplesSome traditional approaches to the aggregation problemLaplace transforms and fractional moment problemsThe standard maximum entropy methodExtensions of the method of maximum entropySuperresolution in maxentropic Laplace transform inversionSample data dependenceDisentangling frequencies and decompounding lossesComputations using the maxentropic densityReview of statistical procedures
Contents:
Frontmatter
Preface
Contents
1 Introduction
2 Frequency models
3 Individual severity models
4 Some detailed examples
5 Some traditional approaches to the aggregation problem
6 Laplace transforms and fractional moment problems
7 The standard maximum entropy method
8 Extensions of the method of maximum entropy
9 Superresolution in maxentropic Laplace transform inversion
10 Sample data dependence
11 Disentangling frequencies and decompounding losses
12 Computations using the maxentropic density
13 A solution to the capital allocation problem
14 Review of statistical procedures
Bibliography
Index
Notes:
Description based on print version record.
Includes bibliographical references and index.
ISBN:
3-11-104818-7

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