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Loss Models: From Data to Dec. -Solution Manual

Loss Models: From Data to Dec. -Solution Manual - 4th edition

ISBN13: 978-1118315316

Cover of Loss Models: From Data to Dec. -Solution Manual 4TH 12 (ISBN 978-1118315316)
ISBN13: 978-1118315316
ISBN10: 1118315316
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Edition/Copyright: 4TH 12
Publisher: John Wiley & Sons, Inc.
Published: 2012
International: No

List price: $37.95

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Loss Models: From Data to Dec. -Solution Manual - 4TH 12 edition

ISBN13: 978-1118315316

Stuart A. Klugman

ISBN13: 978-1118315316
ISBN10: 1118315316
Cover type:
Edition/Copyright: 4TH 12
Publisher: John Wiley & Sons, Inc.

Published: 2012
International: No
Summary

Praise for the Third Edition ''This book provides in-depth coverage of modelling techniques used throughout many branches of actuarial science. . . . The exceptional high standard of this book has made it a pleasure to read.'' -Annals of Actuarial Science Newly organized to focus exclusively on material tested in the Society of Actuaries' Exam C and the Casualty Actuarial Society's Exam 4, Loss Models: From Data to Decisions, Fourth Edition continues to supply actuaries with a practical approach to the key concepts and techniques needed on the job. With updated material and extensive examples, the book successfully provides the essential methods for using available data to construct models for the frequency and severity of future adverse outcomes. The book continues to equip readers with the tools needed for the construction and analysis of mathematical models that describe the process by which funds flow into and out of an insurance system. Focusing on the loss process, the authors explore key quantitative techniques including random variables, basic distributional quantities, and the recursive method, and discuss techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered along with advice for choosing an appropriate model. New features of this Fourth Edition include: Expanded discussion of working with large data sets, now including more practical elements of constructing decrement tables Added coverage of methods for simulating several special situations An updated presentation of Bayesian estimation, outlining conjugate prior distributions and the linear exponential family as well as related computational issues Throughout the book, numerous examples showcase the real-world applications of the presented concepts, with an emphasis on calculations and spreadsheet implementation. A wealth of new exercises taken from previous Exam C/4 exams allows readers to test their comprehen

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