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Loss Data Analysis - (De Gruyter Stem) by  Henryk Gzyl & Silvia Mayoral & Erika Gomes-Gonçalves (Paperback) - 1 of 1

Loss Data Analysis - (De Gruyter Stem) by Henryk Gzyl & Silvia Mayoral & Erika Gomes-Gonçalves (Paperback)

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Highlights

  • This volume deals with two complementary topics.
  • About the Author: Henryk Gzyl, IESA, Caracas, Venezuela.
  • 210 Pages
  • Mathematics, Probability & Statistics
  • Series Name: de Gruyter Stem

Description



About the Book



With applications in insurance, banking and finance as well as engineering and the natural sciences, Operational Risk Assessment is an important tool to mitigate losses. This textbook focuses on loss data analysis using a maximum entropy approach. A



Book Synopsis



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.



About the Author



Henryk Gzyl, IESA, Caracas, Venezuela.
Erika Gomes-Goncalves and Silvia Mayoral, Universidad Carlos III de Madrid, Spain.

Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .45 Inches (D)
Weight: .76 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 210
Genre: Mathematics
Sub-Genre: Probability & Statistics
Series Title: De Gruyter Stem
Publisher: De Gruyter
Theme: General
Format: Paperback
Author: Henryk Gzyl & Silvia Mayoral & Erika Gomes-Gonçalves
Language: English
Street Date: February 5, 2018
TCIN: 1006744835
UPC: 9783110516043
Item Number (DPCI): 247-14-4747
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.45 inches length x 6.69 inches width x 9.61 inches height
Estimated ship weight: 0.76 pounds
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