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PostPosted: Sat Jan 31, 2015 2:57 pm 
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Joined: Wed Aug 27, 2014 12:15 pm
Posts: 12
hello, right now I am working on the problem how to estimate for example the population distribution of vpip. The problem I see is that if I just take the distribution from a sample of lets say 100000 hands I will get a distribution with probably the same mean as the population but a higher variance. Now one thing I could do to lessen that bias of variance is to only include players that have played for instance more than 200 hands. however this itself might introduce a new bias.
I have read around a lot about statistics during the last days, but just didn't come up with a consistent solution. So just wondering if there even is a well known better solution.


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