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PREDICTIVE MODELING APPLICATIONS IN ACTUARIAL

SCIENCE: VOLUME 2, CASE STUDIES IN INSURANCE


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Sinopse

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.

Detalhes do Produto

    • Coordenador/Editor: MEYERS, GLENN
    • Formato:  ePub
    • Subtítulo:  SCIENCE: VOLUME 2, CASE STUDIES IN INSURANCE
    • Origem:  IMPORTADO
    • Editora: CAMBRIDGE UK
    • Assunto: Economia
    • Idioma: INGLÊS
    • Coleção:  International Series on Actuarial Science
    • Ano de Edição: 2016
    • Ano:  2016
    • País de Produção: United Kingdom
    • Código de Barras:  2001033472022
    • ISBN:  9781316718728

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