Author: Renze Steenhuisen
Date: 02:18:18 01/17/06
Go up one level in this thread
It is my opinion that you have winning and not-winning. Doesn't matter if not-winning consists of draws and losses. On January 17, 2006 at 05:07:22, Joseph Ciarrochi wrote: >thank you. that's great!. I assume that this formula does not require >dichotomous data,e g., it is approrate for data with losses wins, and draws? > >best >Joseph > >On January 17, 2006 at 04:01:57, Renze Steenhuisen wrote: > >>On January 17, 2006 at 03:52:21, Joseph Ciarrochi wrote: >> >>>Does anybody have the formula for calculating standard error bars for win >>>percentages? e.g., given a a sample of N, and an observed win rate of x %, I 'd >>>like to construct a 95% confidence interval around x. >>> >>>It would also be cool if you had the formula for calculating confidence >>>intervals for ratings? >>> >>>best >>>Joseph >> >>If you have M positive occurences of a certain event (i.e., a win), from N >>samples. Then, the %-interval is given by: >> >>(M + (L^2)/2 \pm L*SQRT(M*(1-(M/N))+(L^2)/4)) / (N + (L^2)) >> >>with \pm being minus for the lowerbound, and plus for the upperbound. >> >>L depends on the %-confidence you like. 95% confidence needs L=1.96. >> >>Cheers >> >>Renze Steenhuisen
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