Predictive Modeling Applications in Actuarial Science PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Predictive Modeling Applications in Actuarial Science PDF full book. Access full book title Predictive Modeling Applications in Actuarial Science by Edward W. Frees. Download full books in PDF and EPUB format.
Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 1107029880
Category : Business & Economics
Languages : en
Pages : 337
Get Book Here
Book Description
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
ISBN: 1107029880
Category : Business & Economics
Languages : en
Pages : 337
Get Book Here
Book Description
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
ISBN: 9781107029880
Category : Business & Economics
Languages : en
Pages : 330
Get Book Here
Book Description
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:
ISBN: 9781139342681
Category : Actuarial science
Languages : en
Pages : 330
Get Book Here
Book Description
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
ISBN: 1316720527
Category : Business & Economics
Languages : en
Pages : 337
Get Book Here
Book Description
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
ISBN: 1107029872
Category : Business & Economics
Languages : en
Pages : 565
Get Book Here
Book Description
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
ISBN: 1139992317
Category : Business & Economics
Languages : en
Pages : 565
Get Book Here
Book Description
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
ISBN: 0521760119
Category : Business & Economics
Languages : en
Pages : 585
Get Book Here
Book Description
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
ISBN: 1107608449
Category : Business & Economics
Languages : en
Pages : 180
Get Book Here
Book Description
"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:
Publisher:
ISBN:
Category : Actuarial science
Languages : en
Pages :
Get Book Here
Book Description
"The International Series on Actuarial Science, published by Cambridge University Press in con-junction with the Institute and Faculty of Actuaries, contains textbooks for students taking courses in or related to actuarial science, as well as more advanced works designed for continuing pro-fessional development or for describing and synthesizing research. The series is a vehicle for publishing books that reflect changes and developments in the curriculum, that encourage the introduction of courses on actuarial science in universities, and that show how actuarial science can be used in all areas where there is long-term financial risk"--
Author: Arthur Charpentier
Publisher: CRC Press
ISBN: 1498759823
Category : Business & Economics
Languages : en
Pages : 652
Get Book Here
Book Description
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/
