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Brendan McKay
Brendan McKay
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If you could do that, you would be able to distinguish the output of a random number generator from a true random sequence. This is of course possible, but unless the random number generator is especially bad (as some historical generators were) it requires testing very large samples. If your generators are reasonably good, you won't be able to tell the difference.

This document describes some statistical tests known to catch some standard random number generators. See page D-5 for a list of failures.

If you could do that, you would be able to distinguish the output of a random number generator from a true random sequence. This is of course possible, but unless the random number generator is especially bad (as some historical generators were) it requires testing very large samples. If your generators are reasonably good, you won't be able to tell the difference.

If you could do that, you would be able to distinguish the output of a random number generator from a true random sequence. This is of course possible, but unless the random number generator is especially bad (as some historical generators were) it requires testing very large samples. If your generators are reasonably good, you won't be able to tell the difference.

This document describes some statistical tests known to catch some standard random number generators. See page D-5 for a list of failures.

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Brendan McKay
Brendan McKay
  • 37.7k
  • 3
  • 80
  • 147

If you could do that, you would be able to distinguish the output of a random number generator from a true random sequence. This is of course possible, but unless the random number generator is especially bad (as some historical generators were) it requires testing very large samples. If your generators are reasonably good, you won't be able to tell the difference.