Loss Data Analysis
The Maximum Entropy Approach
Seiten
2018
De Gruyter (Verlag)
978-3-11-051604-3 (ISBN)
De Gruyter (Verlag)
978-3-11-051604-3 (ISBN)
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.
Henryk Gzyl, IESA, Caracas, Venezuela.Erika Gomes-Goncalves and Silvia Mayoral, Universidad Carlos III de Madrid, Spain.
Erscheinungsdatum | 05.02.2018 |
---|---|
Reihe/Serie | De Gruyter STEM |
Zusatzinfo | 29 b/w and 4 col. ill., 78 b/w tbl. |
Verlagsort | Berlin/Boston |
Sprache | englisch |
Maße | 170 x 240 mm |
Gewicht | 413 g |
Themenwelt | Mathematik / Informatik ► Mathematik |
Schlagworte | Allgemein • Business & Economics • Computers • Database Management • Data Mining • Data processing • Datenanalyse • dreyer • General • Kulturtourismus • LHBT • Mathematics • Mathematik • Numerical analysis • Numerical and Computational Mathematics • probability & statistics • probability and statistics • Risikoanalyse • Statistics • Statitistics |
ISBN-10 | 3-11-051604-7 / 3110516047 |
ISBN-13 | 978-3-11-051604-3 / 9783110516043 |
Zustand | Neuware |
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