Predictive Modeling Applications In Actuarial Science Volume 2 Case Studies In Insurance
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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 | : 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 | : |
Publisher | : |
Total Pages | : |
Release | : 2016 |
Genre | : Actuarial science |
ISBN | : |
Download Predictive Modeling Applications in Actuarial Science Book in PDF, Epub and Kindle
"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 | : Max Kuhn |
Publisher | : Springer Science & Business Media |
Total Pages | : 595 |
Release | : 2013-05-17 |
Genre | : Medical |
ISBN | : 1461468493 |
Download Applied Predictive Modeling Book in PDF, Epub and Kindle
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 |
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.