On the power of tests of multidimensional discrete uniformity used for statistical analysis of random number generators

V. Voloshko, Anton I. Trubey
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引用次数: 0

Abstract

In this paper, we obtained the asymptotic power values for the statistical tests of multidimensional discrete uniformity under conditions of contiguous convergence of alternatives. Two versions of the test are considered, namely, with overlapping blocks (included in the NIST SP 800-22 test suit) and with non-overlapping blocks. The null hypothesis H0 is related to the so-called pure randomness of the observed sequence, i. e. independence and the same uniform distribution of its elements. An alternative H1 is assumed to be a Markov chain of some arbitrary fixed finite order.
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用于随机数发生器统计分析的多维离散均匀性检验的幂
本文给出了多维离散一致性统计检验在方案连续收敛条件下的渐近幂值。考虑了两种版本的测试,即重叠试块(包括在NIST SP 800-22测试服中)和非重叠试块。零假设H0与观测序列的所谓纯随机性有关,即其元素的独立性和相同的均匀分布。替代H1被假设为某个任意固定有限阶的马尔可夫链。
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
21
审稿时长
16 weeks
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