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Random Number Generation and Monte Carlo Methods (Statistics and Computing)

James E. Gentle




[PDF.os40] Random Number Generation and Monte Carlo Methods (Statistics and Computing)

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 | #1223452 in Books |  2004-09-14 | Original language:English | PDF # 1 |  9.21 x.94 x6.14l,1.51 | File type: PDF | 382 pages

||0 of 0 people found the following review helpful.| good reference book|By david bailey|the current bible on RNG's|9 of 17 people found the following review helpful.| Not good for the beginner|By Fang Jin|Even though this book contains a lot of things,but you can not konw exactly how to do them from the book.The whole book is something like introduction and result.If you are int| ||From the reviews of the second edition: |"The second edition covers advances since the first edition appeared in 1998, so this second edition I seven more valuable than the first. This edition, like the first, is aimed at the graduate level and would be usef

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.

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You easily download any file type for your device.Random Number Generation and Monte Carlo Methods (Statistics and Computing)   |  James E. Gentle. A good, fresh read, highly recommended.

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