Random Number Generation and Monte Carlo Methods:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
1998
|
| Series: | Statistics and Computing
|
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | The role of Monte Carlo methods and simulation in all of the sciences has increased in importance during the past several years. These methods are at the heart of the rapidly developing subdisciplines of computational physics, computational chemistry, and the other computational sciences. The growing power of computers and the evolving simulation methodology have led to the recognition of computation as a third approach for advancing the natural sciences, together with theory and traditional experimentation. Monte Carlo is also a fundamental tool of computational statistics. At the kernel of a Monte Carlo or simulation method is random number generation. Generation of random numbers is also at the heart of many standard statistical methods. The random sampling required in most analyses is usually done by the computer. The computations required in Bayesian analysis have become viable because of Monte Carlo methods. This has led to much wider applications of Bayesian statistics, which, in turn, has led to development of new Monte Carlo methods and to refinement of existing procedures for random number generation |
| Physical Description: | 1 Online-Ressource (XIV, 247 p) |
| ISBN: | 9781475729603 9781475729627 |
| ISSN: | 1431-8784 |
| DOI: | 10.1007/978-1-4757-2960-3 |
Staff View
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Record in the Search Index
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| indexdate | 2024-07-10T01:21:08Z |
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| isbn | 9781475729603 9781475729627 |
| issn | 1431-8784 |
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| spelling | Gentle, James E. 1943- Verfasser (DE-588)126727031 aut Random Number Generation and Monte Carlo Methods by James E. Gentle New York, NY Springer New York 1998 1 Online-Ressource (XIV, 247 p) txt rdacontent c rdamedia cr rdacarrier Statistics and Computing 1431-8784 The role of Monte Carlo methods and simulation in all of the sciences has increased in importance during the past several years. These methods are at the heart of the rapidly developing subdisciplines of computational physics, computational chemistry, and the other computational sciences. The growing power of computers and the evolving simulation methodology have led to the recognition of computation as a third approach for advancing the natural sciences, together with theory and traditional experimentation. Monte Carlo is also a fundamental tool of computational statistics. At the kernel of a Monte Carlo or simulation method is random number generation. Generation of random numbers is also at the heart of many standard statistical methods. The random sampling required in most analyses is usually done by the computer. The computations required in Bayesian analysis have become viable because of Monte Carlo methods. This has led to much wider applications of Bayesian statistics, which, in turn, has led to development of new Monte Carlo methods and to refinement of existing procedures for random number generation Statistics Mathematical statistics Statistics and Computing/Statistics Programs Statistik Zufallsgenerator (DE-588)4191097-7 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 s Zufallsgenerator (DE-588)4191097-7 s 1\p DE-604 https://doi.org/10.1007/978-1-4757-2960-3 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Gentle, James E. 1943- Random Number Generation and Monte Carlo Methods Statistics Mathematical statistics Statistics and Computing/Statistics Programs Statistik Zufallsgenerator (DE-588)4191097-7 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| subject_GND | (DE-588)4191097-7 (DE-588)4240945-7 |
| title | Random Number Generation and Monte Carlo Methods |
| title_auth | Random Number Generation and Monte Carlo Methods |
| title_exact_search | Random Number Generation and Monte Carlo Methods |
| title_full | Random Number Generation and Monte Carlo Methods by James E. Gentle |
| title_fullStr | Random Number Generation and Monte Carlo Methods by James E. Gentle |
| title_full_unstemmed | Random Number Generation and Monte Carlo Methods by James E. Gentle |
| title_short | Random Number Generation and Monte Carlo Methods |
| title_sort | random number generation and monte carlo methods |
| topic | Statistics Mathematical statistics Statistics and Computing/Statistics Programs Statistik Zufallsgenerator (DE-588)4191097-7 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| topic_facet | Statistics Mathematical statistics Statistics and Computing/Statistics Programs Statistik Zufallsgenerator Monte-Carlo-Simulation |
| url | https://doi.org/10.1007/978-1-4757-2960-3 |
| work_keys_str_mv | AT gentlejamese randomnumbergenerationandmontecarlomethods |