Loss Models: Further Topics by Stuart A. Klugman

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An essential resource for constructing and analyzing advanced actuarial models
Loss Models: Further Topics presents extended coverage of modeling through the use of tools related to risk theory, loss distributions, and survival models. The book uses these methods to construct and evaluate actuarial models in the fields of insurance and business. Providing an advanced study of actuarial methods, the book features extended discussions of risk modeling and risk measures, including Tail-Value-at-Risk. Loss Models: Further Topics contains additional material to accompany the Fourth Edition of Loss Models: From Data to Decisions, such as:

• Extreme value distributions
• Coxian and related distributions
• Mixed Erlang distributions
• Computational and analytical methods for aggregate claim models
• Counting processes
• Compound distributions with time-dependent claim amounts
• Copula models
• Continuous time ruin models
• Interpolation and smoothing
  

The book is an essential reference for practicing actuaries and actuarial researchers who want to go beyond the material required for actuarial qualification. Loss Models: Further Topics is also an excellent resource for graduate students in the actuarial field.

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Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot-Loss Models_ Further Topic.pdf (2.97 MB, 需要: 30 个论坛币)

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Loss Models: Further Topics
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Hardcover: 368 pages
Publisher: Wiley; 1 edition (August 5, 2013)
Language: English
ISBN-10: 1118343565
ISBN-13: 978-1118343562
Product Dimensions: 10 x 7.1 x 1 inches
Shipping Weight: 2 pounds
http://www.amazon.com/Loss-Models-Stuart-A-Klugman/dp/1118343565/ref=sr_1_1?ie=UTF8&qid=1402920081&sr=8-1&keywords=Loss+Models%3A+Further+Topics

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关键词：Loss Models Klugman further models Topics essential including insurance business features

An essential resource for constructing and analyzing advanced actuarial models
Loss Models: Further Topics presents extended coverage of modeling through the use of tools related to risk theory, loss distributions, and survival models.

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