NIST软件包四项测试统计的极限联合分布

IF 0.3 Q4 MATHEMATICS, APPLIED
Maksim P. Savelov
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引用次数: 1

摘要

摘要对于具有参数为p的伯努利分布的独立随机变量序列,获得了NIST统计包的四个测试(“Monobit Test”、“Frequency Test in a Block”、“Runs Test”和“Non-duclapping Template Matching Test”的推广)的统计的极限联合分布。给出了这些统计量的渐近不迟性和/或渐近独立性的条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The limit joint distributions of statistics of four tests of the NIST package
Abstract For sequences of independent random variables having a Bernoulli distribution with parameter p the limit joint distribution of statistics of four tests of the NIST statistical package (« Monobit Test », « Frequency Test within a Block », « Runs Test » and a generalization of « Non-overlapping Template Matching Test ») is obtained. Conditions of asymptotic uncorrelatedness and/or asymptotic independence of these statistics are given.
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来源期刊
CiteScore
0.60
自引率
20.00%
发文量
29
期刊介绍: The aim of this journal is to provide the latest information on the development of discrete mathematics in the former USSR to a world-wide readership. The journal will contain papers from the Russian-language journal Diskretnaya Matematika, the only journal of the Russian Academy of Sciences devoted to this field of mathematics. Discrete Mathematics and Applications will cover various subjects in the fields such as combinatorial analysis, graph theory, functional systems theory, cryptology, coding, probabilistic problems of discrete mathematics, algorithms and their complexity, combinatorial and computational problems of number theory and of algebra.
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