Predictive Modeling Applications In Actuarial Science Volume 2 Case Studies In Insurance PDF Download
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Author | : Edward W. Frees |
Publisher | : Cambridge University Press |
Total Pages | : 337 |
Release | : 2016-07-27 |
Genre | : Business & Economics |
ISBN | : 1107029880 |
Download Predictive Modeling Applications in Actuarial Science Book in PDF, ePub and Kindle
This second volume examines practical real-life applications of predictive modeling to forecast future events with an emphasis on insurance.
Author | : Edward W. Frees |
Publisher | : Cambridge University Press |
Total Pages | : 330 |
Release | : 2016-07-27 |
Genre | : Business & Economics |
ISBN | : 9781107029880 |
Download Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance Book in PDF, ePub and Kindle
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.
Author | : Edward W. Frees |
Publisher | : |
Total Pages | : 330 |
Release | : 2014 |
Genre | : Actuarial science |
ISBN | : 9781139342681 |
Download Predictive Modeling Applications in Actuarial Science Book in PDF, ePub and Kindle
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.
Author | : Edward W. Frees |
Publisher | : Cambridge University Press |
Total Pages | : 337 |
Release | : 2016-07-27 |
Genre | : Business & Economics |
ISBN | : 1316720527 |
Download Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance Book in PDF, ePub and Kindle
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.
Author | : Edward W. Frees |
Publisher | : Cambridge University Press |
Total Pages | : 565 |
Release | : 2014-07-28 |
Genre | : Business & Economics |
ISBN | : 1107029872 |
Download Predictive Modeling Applications in Actuarial Science Book in PDF, ePub and Kindle
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.
Author | : Edward W. Frees |
Publisher | : Cambridge University Press |
Total Pages | : 565 |
Release | : 2014-07-28 |
Genre | : Business & Economics |
ISBN | : 1139992317 |
Download Predictive Modeling Applications in Actuarial Science: Volume 1, Predictive Modeling Techniques Book in PDF, ePub and Kindle
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 practising analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. Predictive Modeling Applications in Actuarial Science emphasizes lifelong 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.
Author | : Edward W. Frees |
Publisher | : Cambridge University Press |
Total Pages | : 585 |
Release | : 2010 |
Genre | : Business & Economics |
ISBN | : 0521760119 |
Download Regression Modeling with Actuarial and Financial Applications Book in PDF, ePub and Kindle
This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.
Author | : David C. M. Dickson |
Publisher | : Cambridge University Press |
Total Pages | : 180 |
Release | : 2012-03-26 |
Genre | : Business & Economics |
ISBN | : 1107608449 |
Download Solutions Manual for Actuarial Mathematics for Life Contingent Risks Book in PDF, ePub and Kindle
"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.
Author | : Piet de Jong |
Publisher | : Cambridge University Press |
Total Pages | : 207 |
Release | : 2008-02-28 |
Genre | : Business & Economics |
ISBN | : 1139470477 |
Download Generalized Linear Models for Insurance Data Book in PDF, ePub and Kindle
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.
Author | : Arthur Charpentier |
Publisher | : CRC Press |
Total Pages | : 652 |
Release | : 2014-08-26 |
Genre | : Business & Economics |
ISBN | : 1498759823 |
Download Computational Actuarial Science with R Book in PDF, ePub and Kindle
A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/