國立虎尾科技大學 |

登入

回首頁

Computational actuarial science with R /

Charpentier, Arthur,

Computational actuarial science with R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational actuarial science with R // edited by Arthur Charpentier.
其他作者:	Charpentier, Arthur,
出版者:	Boca Raton :CRC Press, : c2015.,
面頁冊數:	xxxi, 618 p. :ill., maps ; : 26 cm.;
標題:	Actuarial science. -
ISBN:	9781466592599 (cloth) :

Computational actuarial science with R /
Computational actuarial science with R /edited by Arthur Charpentier. - Boca Raton :CRC Press,c2015. - xxxi, 618 p. :ill., maps ;26 cm. - Chapman & Hall/CRC the R series.

Includes bibliographical references (p. 583-604) and index.

"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"--

ISBN: 9781466592599 (cloth) :NT2833

LCCN: 2013049493Subjects--Topical Terms:

943795
Actuarial science.

LC Class. No.: HG8781 / .C637 2014

Dewey Class. No.: 368/.0102855133

Computational actuarial science with R /
LDR:02352cam a2200229 a 450 001 847601
005 20150212083555.0
008 161116s2015 fluab b 001 0 eng
010 $a 2013049493
020 $a 9781466592599 (cloth) : $c NT2833
035 $a 17973552
040 $a DLC $b eng $c NFU $d DLC
041 0 $a eng
042 $a pcc
050 0 0 $a HG8781 $b .C637 2014
082 0 0 $a 368/.0102855133 $2 23
084 $a BUS027000 $a MAT000000 $a MAT029000 $2 bisacsh
245 0 0 $a Computational actuarial science with R / $c edited by Arthur Charpentier.
260 $a Boca Raton : $b CRC Press, $c c2015.
300 $a xxxi, 618 p. : $b ill., maps ; $c 26 cm.
490 0 $a Chapman & Hall/CRC the R series
504 $a Includes bibliographical references (p. 583-604) and index.
520 $a "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"-- $c Provided by publisher.
650 0 $a Actuarial science. $3 943795
700 1 $a Charpentier, Arthur, $e editor of compilation. $3 1085191