Książka Random Number Generation and Monte Carlo Methods James E. Gentle

Random Number Generation and Monte Carlo Methods

Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy w małych ilościach
Wysyłamy za 13-18 dni
603.25
Monte Carlo simulation has become one of the most important tools in all fields of science. Simulati...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2004
strony
382
EAN
9780387001784
ISBN
0387001786
Enbook ID
01380692
Waga
1640
Wymiary
155 x 235 x 30

Pełny opis

Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These "pseudorandom" numbers must pass statistical tests just as random samples would. Methods for producing pseudorandom numbers and transforming those numbers to simulate samples from various distributions are among the most important topics in statistical computing. This book surveys techniques of random number generation and the use of random numbers in Monte Carlo simulation. The book covers basic principles, as well as newer methods such as parallel random number generation, nonlinear congruential generators, quasi Monte Carlo methods, and Markov chain Monte Carlo. The best methods for generating random variates from the standard distributions are presented, but also general techniques useful in more complicated models and in novel settings are described. The emphasis throughout the book is on practical methods that work well in current computing environments. The book includes exercises and can be used as a test or supplementary text for various courses in modern statistics. It could serve as the primary test for a specialized course in statistical computing, or as a supplementary text for a course in computational statistics and other areas of modern statistics that rely on simulation. The book, which covers recent developments in the field, could also serve as a useful reference for practitioners.

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