Loss Data Analysis : : The Maximum Entropy Approach / / Henryk Gzyl, Silvia Mayoral, Erika Gomes-Gonçalves.
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 reliabili...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2018] ©2018 |
Year of Publication: | 2018 |
Language: | English |
Series: | De Gruyter STEM
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Physical Description: | 1 online resource (XII, 198 p.) |
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LEADER | 06296nam a22009615i 4500 | ||
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100 | 1 | |a Gzyl, Henryk, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Loss Data Analysis : |b The Maximum Entropy Approach / |c Henryk Gzyl, Silvia Mayoral, Erika Gomes-Gonçalves. |
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2018] | |
264 | 4 | |c ©2018 | |
300 | |a 1 online resource (XII, 198 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | 0 | |a De Gruyter STEM | |
505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Contents -- |t 1 Introduction -- |t 2 Frequency models -- |t 3 Individual severity models -- |t 4 Some detailed examples -- |t 5 Some traditional approaches to the aggregation problem -- |t 6 Laplace transforms and fractional moment problems -- |t 7 The standard maximum entropy method -- |t 8 Extensions of the method of maximum entropy -- |t 9 Superresolution in maxentropic Laplace transform inversion -- |t 10 Sample data dependence -- |t 11 Disentangling frequencies and decompounding losses -- |t 12 Computations using the maxentropic density -- |t 13 Review of statistical procedures -- |t Index -- |t Bibliography |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a 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. | ||
520 | |a 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 | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) | |
650 | 0 | |a Loss control |x Statistical methods. | |
650 | 0 | |a Maxium entropy method. | |
650 | 4 | |a Datenanalyse. | |
650 | 4 | |a Risikoanalyse. | |
650 | 7 | |a MATHEMATICS / Probability & Statistics / General. |2 bisacsh | |
700 | 1 | |a Gomes-Gonçalves, Erika, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
700 | 1 | |a Mayoral, Silvia, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t DG Plus eBook-Package 2018 |z 9783110719550 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2018 English |z 9783110604252 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2018 |z 9783110603255 |o ZDB-23-DGG |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Mathematics 2018 English |z 9783110604191 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Mathematics 2018 |z 9783110603194 |o ZDB-23-DMA |
776 | 0 | |c EPUB |z 9783110516135 | |
776 | 0 | |c print |z 9783110516043 | |
856 | 4 | 0 | |u https://doi.org/10.1515/9783110516074 |
856 | 4 | 0 | |u https://www.degruyter.com/isbn/9783110516074 |
856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/cover/covers/9783110516074.jpg |
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