Re: A modest improvement in winrate estimation after Poker EV..
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After thinking about it more, you could use other statistics to estimate the flaw in Sklansky bucks. For example you could estimate one's true win rate as:
EV = sEV + kW$SD
-k is an unknown constant
If you did more research you could probably better determine what factors relate EV to sEV. A multiple regression might be a good idea.
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The k and WSD is an interesting idea.
Do you mean multiple regression of sEV for each hand within my dataset? or for sEV's calculated from different datasets?
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