2014, ISBN: 9781466592599

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using si… Mehr…

A Hands-On Approach to Understanding and Using Actuarial Models Computational 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/C++ embedded codes. After an introduction to the R language, the book is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets of life insurance, including life contingencies calculations and prospective life tables. Focusing on finance from an actuarial perspective, the next part presents techniques for modeling stock prices, nonlinear time series, yield curves, interest rates, and portfolio optimization. The last part explains how to use R to deal with computational issues of nonlife insurance. Taking a do-it-yourself approach to understanding algorithms, this book demystifies the computational aspects of actuarial science. It shows that even complex computations can usually be done without too much trouble. Datasets used in the text are available in an R package (CASdatasets). Buch (fremdspr.) Arthur Charpentier gebundene Ausgabe, Taylor and Francis, 26.08.2014, Taylor and Francis, 2014<

ISBN: 9781466592599

Hardback, [PU: Taylor & Francis Inc], This book demystifies the computational aspects of actuarial science, showing that even complex computations can usually be done without too much tro… Mehr…

Hardback, [PU: Taylor & Francis Inc], This book demystifies the computational aspects of actuarial science, showing that even complex computations can usually be done without too much trouble. Using simple R code, the book helps readers understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. Datasets used in the text are available in an R package (CASdatasets)., Economics, Economics, Economic Statistics, Economic Statistics, Finance & Accounting, Finance, Insurance & Actuarial Studies, Mathematics, Probability & Statistics, Applied Mathematics, Mathematical & Statistical Software<

2014, ISBN: 9781466592599

Taking a broad approach, this book explores recent developments in statistics that have impacted actuarial science. It covers inference, Bayesian methods, statistical learning, spatial an… Mehr…

Taking a broad approach, this book explores recent developments in statistics that have impacted actuarial science. It covers inference, Bayesian methods, statistical learning, spatial analysis, and estimation before moving on to specific insurance and finance issues and applications. Each chapter describes a theoretical model, presents the core of the R code to show how the algorithm works, and then includes illustrations of the implementations. Buch (fremdspr.) Arthur Charpentier gebundene Ausgabe, CRC Press, 26.08.2014, CRC Press, 2014<

ISBN: 9781466592599

Hardback, [PU: Taylor & Francis Inc], This book demystifies the computational aspects of actuarial science, showing that even complex computations can usually be done without too much tro… Mehr…

Hardback, [PU: Taylor & Francis Inc], This book demystifies the computational aspects of actuarial science, showing that even complex computations can usually be done without too much trouble. Using simple R code, the book helps readers understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. Datasets used in the text are available in an R package (CASdatasets)., Insurance & Actuarial Studies<

2014, ISBN: 9781466592599

Buch, Hardcover, [PU: Crc Press Inc], Crc Press Inc, 2014