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{ "item_title" : "Predictive Modeling Applications in Actuarial Science", "item_author" : [" Edward W. Frees", "Glenn Meyers", "Richard A. Derrig "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/10/702/988/1107029880_b.jpg", "price_data" : { "retail_price" : "124.00", "online_price" : "124.00", "our_price" : "124.00", "club_price" : "124.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Predictive Modeling Applications in Actuarial Science|Edward W. Frees

Predictive Modeling Applications in Actuarial Science

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Overview

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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Details

  • ISBN-13: 9781107029880
  • ISBN-10: 1107029880
  • Publisher: Cambridge University Press
  • Publish Date: July 2016
  • Dimensions: 10.03 x 7.56 x 0.89 inches
  • Shipping Weight: 1.65 pounds
  • Page Count: 330

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