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Loss Data Analysis - The Maximum Entropy Approach (Paperback, 2nd extended edition): Henryk Gzyl, Silvia Mayoral, Erika... Loss Data Analysis - The Maximum Entropy Approach (Paperback, 2nd extended edition)
Henryk Gzyl, Silvia Mayoral, Erika Gomes-Goncalves
R2,127 R1,676 Discovery Miles 16 760 Save R451 (21%) Ships in 10 - 15 working days

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

Loss Data Analysis - The Maximum Entropy Approach (Paperback): Henryk Gzyl, Silvia Mayoral, Erika Gomes-Goncalves Loss Data Analysis - The Maximum Entropy Approach (Paperback)
Henryk Gzyl, Silvia Mayoral, Erika Gomes-Goncalves
R2,079 R1,640 Discovery Miles 16 400 Save R439 (21%) Ships in 10 - 15 working days

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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