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020    1466592605|q(e-book) 
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020    9781466592599 
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049    INap 
082 04 368/.0102855133 
082 04 368/.0102855133|223 
099    eBook O'Reilly for Public Libraries 
245 00 Computational actuarial science with R /|cedited by Arthur
       Charpentier ; Katrien Antonio [and twenty five others], 
       contributors.|h[O'Reilly electronic resource] 
264  1 Boca Raton, Florida :|bCRC Press,|c2015. 
264  4 |c©20 
264  4 |c©2015 
300    1 online resource (638 pages) :|billustrations, tables 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  Chapman & Hall/CRC the R Series 
504    Includes bibliographical references. 
505 0  1. Introduction -- Part I: Methodology -- 2. Standard 
       Statistical Inference -- 3. Bayesian Philosophy -- 4. 
       Statistical Learning -- 5. Spatial Analysis -- 6. 
       Reinsurance and Extremal Events -- Part II: Life Insurance
       -- 7. Life Contingencies -- 8. Prospective Life Tables -- 
       9. Prospective Mortality Tables and Portfolio Experience -
       - 10. Survival Analysis -- Part III: Finance -- 11. Stock 
       Prices and Time Series -- 12. Yield Curves and Interest 
       Rates Models -- 13. Portfolio Allocation -- Part IV: Non-
       Life Insurance -- 14. General Insurance Pricing -- 15. 
       Longitudinal Data and Experience Rating -- 16. Claims 
       Reserving and IBNR. 
520    "This book aims to provide a broad introduction to 
       computational aspects of actuarial science, in the R 
       environment. We assume that the reader is either learning,
       or is familiar with actuarial science. It can be seen as a
       companion to standard textbooks on actuarial science. This
       book is intended for various audiences: students, 
       researchers, and actuaries. As explained in cite Kendrick 
       et al. (2006) (discussing the importance of computational 
       economics) \our thesis is that computational economics o 
       ers a way to improve this situation and to bring new life 
       into the teaching of economics in colleges and 
       universities ... computational economics provides an 
       opportunity for some students to move away from too much 
       use of the lecture-exam paradigm and more use of a 
       laboratorypaper paradigm in teaching under graduate 
       economics. This opens the door for more creative activity 
       on the part of the students by giving them models 
       developed by previous generations and challenging them to 
       modify those models." Based on the assumption that the 
       same holds for computational actuarial science, we decided
       to publish this book. As claimed by computational 
       scientists, computational actuarial science might simply 
       refer to modern actuarial science methods. Computational 
       methods started probably in the 1950s with Dwyer (1951) 
       and von Neumann (1951). The rst one emphasized the 
       importance of linear computations, and the second one the 
       importance of massive computations, using random number 
       generations (and Monte Carlo methods), while (at that 
       time) access to digital computers was not widespread"--
       |cProvided by publisher 
588 0  Print version record. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Actuarial science. 
650  6 Actuariat. 
650  7 Actuarial science|2fast 
700 1  Charpentier, Arthur,|eeditor. 
700 1  Antonio, Katrien,|econtributor. 
776 08 |iPrint version:|tComputational actuarial science with R.
       |dBoca Raton, Florida : CRC Press, ©2015|hxxxi, 604 pages
       |kChapman & Hall/CRC the R series.|z9781466592599 
830  0 Chapman & Hall/CRC the R series (CRC Press) 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781466592599/?ar
       |zAvailable on O'Reilly for Public Libraries 
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