Computational actuarial science with R:
"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 intend...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, Fla. [u.a.]
CRC Press
2015
|
| Schriftenreihe: | Chapman & Hall/CRC the R series
|
| Zusammenfassung: | "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 rest 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.." |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XXXI, 618 S. graph. Darst. |
| ISBN: | 9781466592599 |
Internformat
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| 245 | 1 | 0 | |a Computational actuarial science with R |c ed. by Arthur Charpentier |
| 264 | 1 | |a Boca Raton, Fla. [u.a.] |b CRC Press |c 2015 | |
| 300 | |a XXXI, 618 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Chapman & Hall/CRC the R series | |
| 500 | |a Includes bibliographical references 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 rest 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.." | ||
| 700 | 1 | |a Charpentier, Arthur |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| building | Verbundindex |
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| callnumber-sort | HG 48781 |
| callnumber-subject | HG - Finance |
| classification_rvk | ST 250 ST 601 |
| ctrlnum | (OCoLC)897056748 (DE-599)BVBBV042001376 |
| dewey-full | 368/.0102855133 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 368 - Insurance |
| dewey-raw | 368/.0102855133 |
| dewey-search | 368/.0102855133 |
| dewey-sort | 3368 9102855133 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV042001376 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T01:10:17Z |
| institution | BVB |
| isbn | 9781466592599 |
| language | English |
| lccn | 013049493 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027443408 |
| oclc_num | 897056748 |
| open_access_boolean | |
| owner | DE-945 DE-523 |
| owner_facet | DE-945 DE-523 |
| physical | XXXI, 618 S. graph. Darst. |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Chapman & Hall/CRC the R series |
| spelling | Computational actuarial science with R ed. by Arthur Charpentier Boca Raton, Fla. [u.a.] CRC Press 2015 XXXI, 618 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Chapman & Hall/CRC the R series Includes bibliographical references 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 rest 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.." Charpentier, Arthur Sonstige oth |
| spellingShingle | Computational actuarial science with R |
| title | Computational actuarial science with R |
| title_auth | Computational actuarial science with R |
| title_exact_search | Computational actuarial science with R |
| title_full | Computational actuarial science with R ed. by Arthur Charpentier |
| title_fullStr | Computational actuarial science with R ed. by Arthur Charpentier |
| title_full_unstemmed | Computational actuarial science with R ed. by Arthur Charpentier |
| title_short | Computational actuarial science with R |
| title_sort | computational actuarial science with r |
| work_keys_str_mv | AT charpentierarthur computationalactuarialsciencewithr |