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Product details:
- ISBN 10: 3110516136
- ISBN 13: 9783110516135
- Author: Henryk Gzyl
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.
Table of 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 Review of statistical procedures
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