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Label:Wiley-Interscience
Languages:
English,English,English,
Manufacturer: Wiley-Interscience






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Product Description:
Revised, updated, and even more useful to students, teachers, and practicing professionals
The First Edition of Loss Models was deemed "worthy of classical status" by the Journal of the International Statistical Institute. While retaining its predecessor's thorough treatment of the concepts and methods of analyzing contingent events, this powerful Second Edition is updated and expanded to offer even more complete and flexible coverage of risk theory, loss distributions, and survival models.
Beginning with a framework for model building and a description of frequency and severity loss data typically available, it shows readers how to combine frequency, severity, and loss models to build aggregate loss models and credibility-based pricing models, and how to analyze loss over multiple time periods. Important features of this new edition include:
* Thorough preparation for relevant parts of preliminary examinations of the Society of Actuaries (SOA) and Casualty Actuarial Society (CAS)
* Exercises based on past SOA and CAS exams
* Examples using actual insurance data
* Practical treatment of modern credibility theory
* Data files and more from an ftp site
Loss Models, Second Edition is an important resource, providing a comprehensive, practically motivated toolkit and an excellent reference, for actuaries preparing for SOA and CAS preliminary examinations, students in actuarial science who need to understand loss and risk models, and practicing professionals involved in loss modeling.

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Loss Models: From Data to Decisions, Second Edition

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Rating : - Mathematics for property and casualty insurance actuaries
"Loss Models from Data to Decision" is an excellent book that covers many of the areas of mathematics and statistics that property and casualty insurance (aka general insurance) actuaries are required to know. Topics include: frequency and severity models; aggregate loss models; ruin models; Bayesian statistics; credibility and simulation. The theory is well explained; with worked examples throughout and numerous exercises at the end of each section (these questions are based on past SOA and CAS exam questions, so are directly relevant to people studying for either of these exams). Solutions to the exercises are not provided in this book, but a separate solutions manual is available.

I am a lecturer in Actuarial Studies at an Australian university and set this book for one of my (later-year undergraduate) units. In my opinion, this is the best General Insurance text book available and students whom I have spoken to tell me that they like this book very much, too. I highly recommend this text for all student actuaries.

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