Full Read and Download Reference eBook
Predictive Modeling Applications In Actuarial Science Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Predictive Modeling Applications In Actuarial Science book. This book definitely worth reading, it is an incredibly well-written.
Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 565 pages
File Size : 38,89 MB
Release : 2014-07-28
Category : 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.
Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 337 pages
File Size : 20,89 MB
Release : 2016-07-27
Category : 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.
Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 585 pages
File Size : 35,43 MB
Release : 2010
Category : 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.
Author : David C. M. Dickson
Publisher : Cambridge University Press
Page : 180 pages
File Size : 23,47 MB
Release : 2012-03-26
Category : 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.
Author :
Publisher :
Page : pages
File Size : 16,3 MB
Release :
Category : Actuarial science
ISBN : 9781139985383
Author : Max Kuhn
Publisher : Springer Science & Business Media
Page : 595 pages
File Size : 41,90 MB
Release : 2013-05-17
Category : Medical
ISBN : 1461468493
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 330 pages
File Size : 32,15 MB
Release : 2016-07-27
Category : 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.
Author :
Publisher :
Page : pages
File Size : 14,9 MB
Release : 2016
Category : Actuarial science
ISBN :
"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
Page : 652 pages
File Size : 18,55 MB
Release : 2014-08-26
Category : Business & Economics
ISBN : 1498759823
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/
Author : Angus S. Macdonald
Publisher : Cambridge University Press
Page : 387 pages
File Size : 14,59 MB
Release : 2018-05-03
Category : Business & Economics
ISBN : 110704541X
Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.