Loss Models: From Data to Decisions, 4e Student Solutions Manual / Edition 4

by Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot

Overview

Student Solutions Manual to Accompany Loss Models: From Data to Decisions, Fourth Edition. This volume is organised around the principle that much of actuarial science consists of the construction and analysis of mathematical models which describe the process by which funds flow into and out of an insurance system.

Product Details

ISBN-13:	9781118315316
Publisher:	Wiley
Publication date:	10/02/2012
Series:	Wiley Series in Probability and Statistics , #983
Edition description:	Solution M
Pages:	252
Product dimensions:	5.90(w) x 9.20(h) x 0.70(d)

About the Author

STUART A. KLUGMAN, PhD, is Principal Financial Group Distinguished Professor of Actuarial Science at Drake University. A Fellow of the Society of Actuaries, Dr. Klugman was vice president of the SOA from 2001 to 2003.

HARRY H. PANJER, PhD, is Professor Emeritus in the Department of Statistics and Actuarial Science at the University of Waterloo, Canada. Past president of both the Canadian Institute of Actuaries and the Society of Actuaries, Dr. Panjer has published numerous articles on risk modeling in the fields of finance and actuarial science.

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Table of Contents

Introduction—A Model-Based Approach to Actuarial Science.

Loss Distributions—Models for the Amount of a Single Payment.

Frequency Distributions—Models for the Number of Payments.

Aggregate Loss Models.

Credibility Theory.

Long-Term Models.

Appendices.

References.

Index.

Editorial Reviews

...gives the reader a good insight.

Allianz Global Risk Report

This applied textbook for students of actuarial science focuses on the loss process: the outflow of cash due to the payment of benefits. The authors discuss models for the amount of loss for a single claim, a number of payments, and aggregate loss. They also describe credibility theory and long-term models. The text does not assume substantial knowledge of insurance systems, but does assume a solid background in mathematical statistics and calculus. Annotation c. by Book News, Inc., Portland, Or.

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