Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance

Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance
Author :
Publisher : Cambridge University Press
Total Pages : 337
Release :
ISBN-10 : 9781316720523
ISBN-13 : 1316720527
Rating : 4/5 (527 Downloads)

Book Synopsis Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance by : Edward W. Frees

Download or read book Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance written by Edward W. Frees and published by Cambridge University Press. This book was released on 2016-07-27 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for seasoned practicing analysts as well as those just starting out.


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