On 11/12/10 5:33 AM, Richard Senington wrote:
It does not give the results you would want. This may have something to
do with picking "good" parameters for the mkLehmerTree function.
For example, using a random setup, I just got these results
result expected range
16.814 expected = 16.0 (1,31)
16.191 expected = 16.5 (1,32)
16.576 expected = 17.0 (1,33)
17.081 expected = 17.5 (1,34)
17.543 expected = 18.0 (1,35)

Have you run any significance tests? I wouldn't be surprised to see +/-0.5 as within the bounds of expected randomness. I'm more worried about it seeming to be consistently on the -0.5 end of things, than I am about it not matching expectation (how many samples did you take again?). For small ranges like this, a consistent -0.5 (or +0.5) tends to indicate off-by-one errors in the generator.

--
Live well,
~wren
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