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Author: Edward W. Frees Publisher: Cambridge University Press ISBN: 1107029880 Category : Business & Economics Languages : en Pages : 337
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
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: 1316720527 Category : Business & Economics Languages : en Pages : 337
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
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
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: 9781107029880 Category : Business & Economics Languages : en Pages : 330
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: Arthur Charpentier Publisher: CRC Press ISBN: 1498759823 Category : Business & Economics Languages : en Pages : 652
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/
Author: David C. M. Dickson Publisher: Cambridge University Press ISBN: 1107608449 Category : Business & Economics Languages : en Pages : 180
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: Angus S. Macdonald Publisher: Cambridge University Press ISBN: 1108686338 Category : Mathematics Languages : en Pages : 388
Book Description
Actuaries 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 ISBN: 1316839532 Category : Business & Economics Languages : en Pages : 307
Book Description
The 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.
Author: Edward W. Frees
Author: Edward W. Frees
Author: Edward W. Frees
Author: Edward W. Frees
Author: Edward W. Frees
Author: Edward W. Frees
Author: Edward W. Frees
Author: Arthur Charpentier
Author: David C. M. Dickson
Author: Angus S. Macdonald
Author: David C. M. Dickson