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Klugman Stuart A. - Student Solutions Manual to Accompany Loss Models: From Data to Decisions

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A guide that provides in-depth coverage of modeling techniques used throughout many branches of actuarial science, revised and updated Now in its fifth edition, Loss Models: From Data to Decisions puts the focus on material tested in the Society of Actuaries (SOA) newly revised Exams STAM (Short-Term Actuarial Mathematics) and LTAM (Long-Term Actuarial Mathematics). Updated to reflect these exam changes, this vital resource offers actuaries, and those aspiring to the profession, a practical approach to the concepts and techniques needed to succeed in the profession. The techniques are also valuable for anyone who uses loss data to build models for assessing risks of any kind. Loss Models contains a wealth of examples that highlight the real-world applications of the concepts presented, and puts the emphasis on calculations and spreadsheet implementation. With a focus on the loss process, the book reviews the essential quantitative techniques such as random variables, basic distributional quantities, and the recursive method, and discusses techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered. In addition, the authors offer practical advice for choosing an appropriate model. This important text: Presents a revised and updated edition of the classic guide for actuaries that aligns with newly introduced Exams STAM and LTAM Contains a wealth of exercises taken from previous exams Includes fresh and additional content related to the material required by the Society of Actuaries (SOA) and the Canadian Institute of Actuaries (CIA) Offers a solutions manual available for further insight, and all the data sets and supplemental material are posted on a companion site Written for students and aspiring actuaries who are preparing to take the SOA examinations, Loss Models offers an essential guide to the concepts and techniques of actuarial science.

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WILEY SERIES IN PROBABILITY AND STATISTICS Established by Walter A Shewhart - photo 1

WILEY SERIES IN PROBABILITY AND STATISTICS
Established by Walter A. Shewhart and Samuel S. Wilks

Editors: David J. Balding, Noel A. C. Cressie, Garrett M. Fitzmaurice, Geof H. Givens, Harvey Goldstein, Geert Molenberghs, David W. Scott, Adrian F. M. Smith, Ruey S. Tsay

Editors Emeriti: J. Stuart Hunter, Iain M. Johnstone, Joseph B. Kadane, Jozef L. Teugels

The Wiley Series in Probability and Statistics is well established and authoritative. It covers many topics of current research interest in both pure and applied statistics and probability theory. Written by leading statisticians and institutions, the titles span both state-of-the-art developments in the field and classical methods.

Reflecting the wide range of current research in statistics, the series encompasses applied, methodological and theoretical statistics, ranging from applications and new techniques made possible by advances in computerized practice to rigorous treatment of theoretical approaches. This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research.

A complete list of titles in this series can be found at http://www.wiley.com/go/wsps

This edition first published 2019

2019 John Wiley and Sons, Inc.

Edition History

Wiley (1e, 1998; 2e, 2004; 3e, 2008; and 4e, 2012)

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

The right of Stuart A. Klugman, Harry H. Panjer, and Gordon E.Willmot to be identified as the authors of this work has been asserted in accordance with law.

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Library of Congress Cataloging-in-Publication Data

Names: Klugman, Stuart A., 1949- author. | Panjer, Harry H., author. | Willmot, Gordon E., 1957- author.

Title: Loss models : from data to decisions / Stuart A. Klugman, Society of Actuaries, Harry H. Panjer, University of Waterloo, Gordon E. Willmot, University of Waterloo.

Description: 5th edition. | Hoboken, NJ : John Wiley and Sons, Inc., [2018] |

Series: Wiley series in probability and statistics | Includes bibliographical references and index. |

Identifiers: LCCN 2018031122 (print) | ISBN 9781119523789 (hardcover) | ISBN 9781119538059 (solutions manual)

Subjects: LCSH: InsuranceStatistical methods. | InsuranceMathematical models.

Classification: LCC HG8781 (ebook) | LCC HG8781 .K583 2018 (print) | DDC368/.01dc23

LC record available at https://lccn.loc.gov/2018031122

Cover design by Wiley

Chapter 1
Introduction

The solutions presented in this manual reflect the authors' best attempt to provide insights and answers. While we have done our best to be complete and accurate, errors may occur and there may be more elegant solutions. Errata will be linked from the syllabus document for any Society of Actuaries examination that uses this text.

Should you find errors, or if you would like to provide improved solutions, please send your comments to Stuart Klugman at .

Chapter 2
Solutions
Section 2.2
  1. 2.1 22 The requested plots follow The triangular spike at zero in the density - photo 2

    22 The requested plots follow The triangular spike at zero in the density - photo 3

    22 The requested plots follow The triangular spike at zero in the density - photo 4

  2. 2.2 The requested plots follow. The triangular spike at zero in the density function for Model 4 indicates the 0.7 of discrete probability at zero.
  3. 2.3 Student Solutions Manual to Accompany Loss Models From Data to Decisions - image 5. Setting the derivative equal to zero and multiplying by Student Solutions Manual to Accompany Loss Models From Data to Decisions - image 6 gives the equation Student Solutions Manual to Accompany Loss Models From Data to Decisions - image 7. This is equivalent to The only positive solution is the mode of Figure 21 The distribution - photo 8. The only positive solution is the mode of Figure 21 The distribution function for Model 3 Figure 22 The - photo 9.Figure 21 The distribution function for Model 3 Figure 22 The distribution - photo 10

    Figure 2.1 The distribution function for Model 3.

    Figure 22 The distribution function for Model 4 Figure 23 The distribution - photo 11

    Figure 2.2 The distribution function for Model 4.

    Figure 23 The distribution function for Model 5 Figure 24 The probability - photo 12

    Figure 2.3 The distribution function for Model 5.

    Figure 24 The probability function for Model 3 Figure 25 The density - photo 13
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