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Author: Edward W. Frees
Publisher: Cambridge University Press
Published: 2016-07-27
Total Pages: 337
ISBN-13: 1107029880
DOWNLOAD EBOOKThis 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
Published: 2016-07-27
Total Pages: 337
ISBN-13: 1316720527
DOWNLOAD EBOOKPredictive 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
Published: 2014-07-28
Total Pages: 565
ISBN-13: 1107029872
DOWNLOAD EBOOKThis 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
Published: 2014-07-28
Total Pages: 565
ISBN-13: 1139992317
DOWNLOAD EBOOKPredictive 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
Published: 2016-07-27
Total Pages: 330
ISBN-13: 9781107029880
DOWNLOAD EBOOKPredictive 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
Published: 2010
Total Pages: 585
ISBN-13: 0521760119
DOWNLOAD EBOOKThis book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.
Author: Arthur Charpentier
Publisher: CRC Press
Published: 2014-08-26
Total Pages: 652
ISBN-13: 1498759823
DOWNLOAD EBOOKA 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: David C. M. Dickson
Publisher: Cambridge University Press
Published: 2012-03-26
Total Pages: 180
ISBN-13: 1107608449
DOWNLOAD EBOOK"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: Angus S. Macdonald
Publisher: Cambridge University Press
Published: 2018-05-03
Total Pages: 388
ISBN-13: 1108686338
DOWNLOAD EBOOKActuaries 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.
Author: David C. M. Dickson
Publisher: Cambridge University Press
Published: 2016-10-27
Total Pages: 307
ISBN-13: 1316839532
DOWNLOAD EBOOKThe focus of this book is on the two major areas of risk theory: aggregate claims distributions and ruin theory. For aggregate claims distributions, detailed descriptions are given of recursive techniques that can be used in the individual and collective risk models. For the collective model, the book discusses different classes of counting distribution, and presents recursion schemes for probability functions and moments. For the individual model, the book illustrates the three most commonly applied techniques. Beyond the classical topics in ruin theory, this new edition features an expanded section covering time of ruin problems, Gerber–Shiu functions, and the application of De Vylder approximations. Suitable for a first course in insurance risk theory and extensively classroom tested, the book is accessible to readers with a solid understanding of basic probability. Numerous worked examples are included and each chapter concludes with exercises for which complete solutions are provided.
