Original PDF Ebook – Loss Models5th EditionFrom Data to Decisions – 9781119523789

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Author (s): Stuart A. Klugman; Harry H. Panjer; Gordon E. Willmot
Publisher: Wiley-Blackwell Print
ISBN: 9781119523789 1119523788
Edition: 5th
Copyright: 2019

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Original PDF Ebook – Loss Models5th EditionFrom Data to Decisions – 9781119523789

A guide that provides in-depth coverage of modeling techniques used throughout many branches of actuarial science, revised and updated_x000D_
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._x000D_
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:_x000D_
• Presents a revised and updated edition of the classic guide for actuaries that aligns with newly introduced Exams STAM and LTAM_x000D_
• Contains a wealth of exercises taken from previous exams_x000D_
• Includes fresh and additional content related to the material required by the Society of Actuaries (SOA) and the Canadian Institute of Actuaries (CIA)_x000D_
• Offers a solutions manual available for further insight, and all the data sets and supplemental material are posted on a companion site

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