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Statistical tests of some widely used and recently proposed uniform random number generators

机译:一些广泛使用且最近提出的统一随机数生成器的统计测试

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摘要

Several widely used uniform random number generators have been extensivelysubjected to three commonly used statistical tests of uniformityand randomness. The object was i) to examine the power of these statisticaltests to discriminate between "good" and "bad" random number generators,ii) to correlate these results with recently proposed mathematicalcharacterizations of random number generators which might also be usefulin such a discrimination, and iii) to examine the effect of shuffling onthe random number generators.Briefly the results show that the commonly used runs test has virtuallyno power to discriminate between "good" and "bad" generators, whileserial tests perform better. Also shuffling does help, although muchmore needs to be done in this area. And finally, there is some utilityto the mathematical characterizations, but many unanswered questions.
机译:几种广泛使用的统一随机数生成器已经广泛接受了三个常用的一致性和随机性统计检验。目的是:i)检查这些统计检验的能力,以区分“好”和“坏”的随机数生成器; ii)将这些结果与最近提出的随机数生成器的数学特征相关联,这些特征也可能在这种区分中有用,并且iii)检查混洗对随机数生成器的影响。简要的结果表明,常用的运行测试实际上没有能力区分“好”生成器和“坏”生成器,而串行测试则表现更好。改组确实有帮助,尽管在此领域还需要做更多的工作。最后,数学表征有一些实用性,但还有许多未解决的问题。

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