
Wiley Series in Probability and Statistics Ser.: Loss Models : From Data to...
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Wiley Series in Probability and Statistics Ser.: Loss Models : From Data to...
US $51.00
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN
- 9781119523789
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119523788
ISBN-13
9781119523789
eBay Product ID (ePID)
18038802916
Product Key Features
Number of Pages
560 Pages
Language
English
Publication Name
Loss Models : from Data to Decisions
Subject
Insurance / Risk Assessment & Management, Insurance / General
Publication Year
2019
Type
Textbook
Subject Area
Business & Economics
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover
Dimensions
Item Height
1 in
Item Weight
36.1 Oz
Item Length
10.2 in
Item Width
7.2 in
Additional Product Features
Edition Number
5
Intended Audience
Scholarly & Professional
LCCN
2018-031122
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
368/.012
Synopsis
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., 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.
LC Classification Number
HG8781.K583 2018
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