Predictive Modeling Applications in Actuarial Science
Title | Predictive Modeling Applications in Actuarial Science PDF eBook |
Author | Edward W. Frees |
Publisher | Cambridge University Press |
Pages | 565 |
Release | 2014-07-28 |
Genre | Business & Economics |
ISBN | 1107029872 |
This book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive modeling.
Solutions Manual for Actuarial Mathematics for Life Contingent Risks
Title | Solutions Manual for Actuarial Mathematics for Life Contingent Risks PDF eBook |
Author | David C. M. Dickson |
Publisher | Cambridge University Press |
Pages | 180 |
Release | 2012-03-26 |
Genre | Business & Economics |
ISBN | 1107608449 |
"This manual presents solutions to all exercises from Actuarial Mathematics for Life Contingent Risks (AMLCR) by David C.M. Dickson, Mary R. Hardy, Howard Waters; Cambridge University Press, 2009. ISBN 9780521118255"--Pref.
Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance
Title | Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance PDF eBook |
Author | Edward W. Frees |
Publisher | Cambridge University Press |
Pages | 337 |
Release | 2016-07-27 |
Genre | Business & Economics |
ISBN | 1316720527 |
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.
Regression Modeling with Actuarial and Financial Applications
Title | Regression Modeling with Actuarial and Financial Applications PDF eBook |
Author | Edward W. Frees |
Publisher | Cambridge University Press |
Pages | 585 |
Release | 2010 |
Genre | Business & Economics |
ISBN | 0521760119 |
This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.
Predictive Modeling Applications in Actuarial Science
Title | Predictive Modeling Applications in Actuarial Science PDF eBook |
Author | |
Publisher | |
Pages | |
Release | |
Genre | Actuarial science |
ISBN | 9781139985383 |
Healthcare Risk Adjustment and Predictive Modeling
Title | Healthcare Risk Adjustment and Predictive Modeling PDF eBook |
Author | Ian G. Duncan |
Publisher | ACTEX Publications |
Pages | 350 |
Release | 2011 |
Genre | Business & Economics |
ISBN | 1566987695 |
This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare, disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to a test dataset.
Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance
Title | Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance PDF eBook |
Author | Edward W. Frees |
Publisher | Cambridge University Press |
Pages | 330 |
Release | 2016-07-27 |
Genre | Business & Economics |
ISBN | 9781107029880 |
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.