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A randomness test (or test for randomness), in data evaluation, is a test used to analyze the distribution of a set of data to see whether it can be described as random (patternless). In stochastic modeling, as in some computer simulations, the hoped-for randomness of potential input data can be verified, by a formal test for randomness, to show that the…
Products, Specific tests for randomness & Background
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randomness random tests used data test complexity statistical number generators strings sequences wang linear use set runs see generator marsaglia
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| NIST standards | instance of | Though there are commonly used statistical testing techniques | 0.80 | text |
| Yongge Wang showed that NIST standards are not sufficient | instance of | Though there are commonly used statistical testing techniques | 0.80 | text |
| the well known Debian version of OpenSSL pseudorandom generator which was fixed in 2008 | instance of | Yongge Wang and Tony Nicol detected the weakness in commonly used pseudorandom generators | 0.80 | text |
| Randomness test | related to background | The | 0.60 | section |
| Randomness test | related to background | Tests | 0.60 | section |
| Randomness test | related to background | For | 0.60 | section |
| Randomness test | related to background | Many | 0.60 | section |
| Randomness test | related to background | These | 0.60 | section |
| Randomness test | related to background | RANDU | 0.60 | section |
| Randomness test | related to background | Stephen Wolfram | 0.60 | section |
| Randomness test | related to background | Rule | 0.60 | section |
| Randomness test | related to background | Though | 0.60 | section |
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