In this work, we propose a new statistical randomness test, the Saturation Point Test, which can be applied to integer sequences as well as binary sequences and is designed to increase the number of tests for short sequences. The subject of Saturation Point Test is the index of integer, denoted by SP, where all possible integers occur in the given sequence. We evaluate the probability Pr(SP=t) using Stirling numbers of the second kind and give a procedure to produce a p-value using this probability. Moreover, we state a pseudocode for the new test and evaluate the subinterval probabilities to apply chi^2 goodness of fit test.
Primary Language | English |
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Subjects | Applied Mathematics |
Journal Section | Articles |
Authors | |
Publication Date | September 29, 2013 |
Submission Date | January 30, 2016 |
Published in Issue | Year 2013 Volume: 2 Issue: 3 |