00000cam a22000004i 4500 UP-99796217613096625 Buklod 20190830113023.0 a r |||| u| ta 190830s2014 xx d r |||| u| 9781107029873 (v. 1 : hardback) (iLib)UPD-00413165678 DLC DIM rda eng DMLUC HG 8781 P74 2014 Predictive modeling applications in actuarial science Edward W. Frees, Richard A. Derrig, Glenn Meyers. New York Cambridge University Press 2014 volumes 1, xx, 543 pages illustrations 26 cm. text rdacontent unmediated rdamedia volume rdacarrier International series on actuarial science Includes bibliographical references and index. volume 1. Predictive modeling techniques. "Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill - actuaries routinely apply predictive-modeling techniques in insurance and other risk-management applications. This book is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples of predictive modeling. The book also addresses the needs of more seasoned practicing analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. 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 by analysts to gain a competitive advantage in situations with complex data"-- Provided by publisher. Actuarial science. Insurance Mathematical models. Forecasting Mathematical models. Frees, Edward W. editor. Derrig, Richard A. editor. Meyers, Glenn. editor. FO UPD DIM HG 8781 P74 2014 Book