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Loss Reserving - An Actuarial Perspective (HUEBNER INTERNATIONAL SERIES ON RISK, INSURANCE AND) (Huebner International Series on Risk, Insurance and Economic Security)

Loss Reserving - An Actuarial Perspective (HUEBNER INTERNATIONAL SERIES ON RISK, INSURANCE AND) (Huebner International Series on Risk, Insurance and Economic Security)
Author: Gregory Taylor
Publisher: Springer
Category: Book

List Price: $245.00
Buy New: $173.25
You Save: $71.75 (29%)



New (17) Used (8) from $173.25

Sales Rank: 1580368

Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 408
Shipping Weight (lbs): 1.2
Dimensions (in): 9.3 x 6.2 x 1.1

ISBN: 0792385020
Dewey Decimal Number: 368.01
EAN: 9780792385028
ASIN: 0792385020

Publication Date: December 1, 1999
Availability: Usually ships in 1-2 business days
Shipping: International shipping available

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  • Non-Life Insurance Mathematics: An Introduction with Stochastic Processes (Universitext)
  • Catastrophe Modeling: A New Approach to Managing Risk (Huebner International Series on Risk, Insurance and Economic Security)
  • Actuarial Theory for Dependent Risks: Measures, Orders and Models

Editorial Reviews:

Product Description
All property and casualty insurers are required to carry out loss reserving as a statutory accounting function. Thus, loss reserving is an essential sphere of activity, and one with its own specialized body of knowledge. While few books have been devoted to the topic, the amount of published research literature on loss reserving has almost doubled in size during the last fifteen years. PGreg Taylor's book aims to provide a comprehensive, state-of-the-art treatment of loss reserving that reflects contemporary research advances to date. Divided into two parts, the book covers both the conventional techniques widely used in practice, and more specialized loss reserving techniques employing stochastic models. Part I, Deterministic Models, covers very practical issues through the abundant use of numerical examples that fully develop the techniques under consideration. Part II, Stochastic Models, begins with a chapter that sets up the additional theoretical material needed to illustrate stochastic modeling. The remaining chapters in Part II are self-contained, and thus can be approached independently of each other. A special feature of the book is the use throughout of a single real life data set to illustrate the numerical examples and new techniques presented. The data set illustrates most of the difficult situations presented in actuarial practice. This book will meet the needs for a reference work as well as for a textbook on loss reserving.

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