Predictive Modeling Applications In Actuarial Science

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Predictive Modeling Applications In Actuarial Science Volume 1 Predictive Modeling Techniques

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Author : Edward W. Frees
language : en
Publisher: Cambridge University Press
Release Date : 2014-07-09

Predictive Modeling Applications In Actuarial Science Volume 1 Predictive Modeling Techniques written by Edward W. Frees and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-09 with Business & Economics categories.

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.

Regression Modeling With Actuarial And Financial Applications

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Author : Edward W. Frees
language : en
Publisher: Cambridge University Press
Release Date : 2010

Regression Modeling With Actuarial And Financial Applications written by Edward W. Frees and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business & Economics categories.

This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.

Solutions Manual For Actuarial Mathematics For Life Contingent Risks

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Author : David C. M. Dickson
language : en
Publisher: Cambridge University Press
Release Date : 2012-03-26

Solutions Manual For Actuarial Mathematics For Life Contingent Risks written by David C. M. Dickson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-26 with Business & Economics categories.

"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

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Author : Edward W. Frees
language : en
Publisher: Cambridge University Press
Release Date : 2016-07-27

Predictive Modeling Applications In Actuarial Science Volume 2 Case Studies In Insurance written by Edward W. Frees and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-27 with Business & Economics categories.

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.

Predictive Modeling Applications In Actuarial Science

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Author : Edward W. Frees
language : en
Publisher: Cambridge University Press
Release Date : 2014-07-28

Predictive Modeling Applications In Actuarial Science written by Edward W. Frees and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-28 with Business & Economics categories.

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.

Generalized Linear Models For Insurance Data

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Author : Piet de Jong
language : en
Publisher: Cambridge University Press
Release Date : 2008-02-28

Generalized Linear Models For Insurance Data written by Piet de Jong and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-28 with Business & Economics categories.

This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.

Predictive Modeling Applications In Actuarial Science

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Author :
language : en
Publisher:
Release Date :

Predictive Modeling Applications In Actuarial Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Actuarial science categories.

Healthcare Risk Adjustment And Predictive Modeling

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Author : Ian G. Duncan
language : en
Publisher: ACTEX Publications
Release Date : 2011

Healthcare Risk Adjustment And Predictive Modeling written by Ian G. Duncan and has been published by ACTEX Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business & Economics categories.

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.

Modelling Mortality With Actuarial Applications

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Author : Angus S. Macdonald
language : en
Publisher: Cambridge University Press
Release Date : 2018-05-03

Modelling Mortality With Actuarial Applications written by Angus S. Macdonald and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-03 with Mathematics categories.

Actuaries have access to a wealth of individual data in pension and insurance portfolios, but rarely use its full potential. This book will pave the way, from methods using aggregate counts to modern developments in survival analysis. Based on the fundamental concept of the hazard rate, Part I shows how and why to build statistical models, based on data at the level of the individual persons in a pension scheme or life insurance portfolio. Extensive use is made of the R statistics package. Smooth models, including regression and spline models in one and two dimensions, are covered in depth in Part II. Finally, Part III uses multiple-state models to extend survival models beyond the simple life/death setting, and includes a brief introduction to the modern counting process approach. Practising actuaries will find this book indispensable, and students will find it helpful when preparing for their professional examinations.