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A better approch?

Posted By: eXtreme Gammon
Date: Sunday, 1 November 2009, at 4:02 a.m.

In Response To: Confidence Interval Overlap vs Joint Standard Deviation (long) (neilkaz)

jsd is very nice concept.

The next version of eXtreme Gammon will include something equivalent and, I hope, better. But I'd like to hear your thoughts about it.

I do believe that displaying jsd value can be improved. First of all, very few people do understand what normal distribution are, and even less what a join standard deviation represents. Also, current jsd implementation just compare each move to the top one.

In the next release, XG will display for all the moves rolled the chances that each one can be the best. You will have the ability to set a value (let say 99%) when you want to stop the rollout. People can relate to that number much better than a jsd.

I think this is better than comparing each move to the current top one. However, as I am in the final step of implementing that, comments will be welcomed.

PS: I am aware that the hypothesis that each Rollout has a normal distribution and that they are independent to each other is not true. But i don't know any better way. Bob Koca suggestion in the this thread seems a proper way to do it, but, with, let’s say, 1296 games, the confidence on the output will be very low I think.

Xavier Dufaure de Citres

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