> Well, the "assumption" that p is estimated from the binomial because we > are counting Bernoulli experiments of constant p is a mathematically > sound method used universally. It does not require go knowledge, that's > what i meant. When n is big enough, the binomial converges to the normal > and that's what we use for inference.
another nice feature of knowing that you're dealing with the binomial is that you can deal with your *actual* distribution in a much more efficient way than if you instead pretend that you're sampling from a distribution that you will eventually converge to. which is slow, and ugly, by way of comparison. :) s. ____________________________________________________________________________________ Be a PS3 game guru. Get your game face on with the latest PS3 news and previews at Yahoo! Games. http://videogames.yahoo.com/platform?platform=120121 _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
