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Thanks, Peter. The bucketizing I'm thinking of comes from the "standard" way of selecting, say, integer values in a range. low-value + floor((high-value - low-value) * rand()) So if you have the pips on a die, then 0-.1666... become 1, etc. I would think that at any given point in the generated string of digits, the distribution might be skewed, although it is uniform across the entire length before repetition. Is there a desire to make the distribution uniform, no matter where you are in it? Is there a measure of this? An article on the Web mentioned a "super-duper" generator as one that IBM has used. There were many generators listed, with various metrics. > Vernon, > > See inline comments... > -snip- > > I seem to recall problems with skewed distributions when generating > > integers between 2 values. Does this "bucketizing" diminish the quality of > > the distribution? The random number generator actually returns values > > between 0 and 1. > > I think the bucketizing is the result of a poor seed. Bucketizing would > certainly diminish the quality of the distribution. > > _______________________________________________
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