Author: Peter Fendrich
Date: 03:31:57 12/23/02
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On December 22, 2002 at 07:48:37, Rémi Coulom wrote: >This is what my program says: > >number of wins n1 = 4 >number of losses n0 = 6 >P(p1>p0) = 0.274414 > >Below is what your own program says. 4 6 100 is only slightly different, but >that is certainly related to the incaccuracies of the Monte Carlo method. > >Result Evaluator. Version 0.8 >by Jean-Peter Fendrich; peter@fendrich.net >Enter 'Help' for more information > > >Enter a match result in the form Wins Losses Draws or Q for quit. 4 6 0 >10 games. Result: 4.0-6.0 >Some different values of Pw and Pd: >Pw Pd Trin cumTrin >------ ------- ----------- --------- >0.33 0.33 0.00355636844 0.05450558 >0.40 0.20 0.022020096 0.122454 >0.49 0.01 0.189157533 0.7482712 >0.37 0.26 0.0100980272 0.07425042 >0.33 0.35 0.00276091416 0.05424455 >0.01 0.99 2.05078125e-021 0.9980402 >0.80 0.10 8.6016e-005 0.6260984 >............................................................................ >Probability for A better than B is: 0.2745533 > >Enter a match result in the form Wins Losses Draws or Q for quit. 4 6 1 >11 games. Result: 4.5-6.5 >Some different values of Pw and Pd: >Pw Pd Trin cumTrin >------ ------- ----------- --------- >0.33 0.33 0.00118545615 0.03502741 >0.40 0.20 0.0044040192 0.0886891 >0.49 0.01 0.00189157533 0.6468857 >0.37 0.26 0.00262548707 0.05006582 >0.33 0.35 0.000966319957 0.03491507 >0.01 0.99 2.03027344e-021 0.9975906 >0.80 0.10 8.6016e-006 0.5771945 >............................................................................ >Probability for A better than B is: 0.2747703 > >Enter a match result in the form Wins Losses Draws or Q for quit. 4 6 10 >20 games. Result: 9.0-11.0 >Some different values of Pw and Pd: >Pw Pd Trin cumTrin >------ ------- ----------- --------- >0.33 0.33 9.56946654e-008 0.0008574022 >0.40 0.20 3.58271855e-009 0.01094223 >0.49 0.01 3.00550302e-021 0.6054174 >0.37 0.26 2.26497568e-008 0.002691502 >0.33 0.35 1.21011565e-007 0.0008517853 >0.01 0.99 2.94689602e-021 0.9916248 >0.80 0.10 1.36669867e-014 0.2530475 >............................................................................ >Probability for A better than B is: 0.274245 > >Enter a match result in the form Wins Losses Draws or Q for quit. 4 6 100 >110 games. Result: 54.0-56.0 >Some different values of Pw and Pd: >Pw Pd Trin cumTrin >------ ------- ----------- --------- >0.33 0.33 2.33563783e-045 1.125915e-019 >0.40 0.20 9.44803171e-067 1.700053e-011 >0.49 0.01 6.40245019e-196 0.1909135 >0.37 0.26 1.07422165e-055 3.536888e-015 >0.33 0.35 2.38440436e-043 2.734289e-019 >0.01 0.99 2.54074667e-016 0.8122032 >0.80 0.10 2.91139955e-099 2.06995e-005 >............................................................................ >Probability for A better than B is: 0.2773552 > >Enter a match result in the form Wins Losses Draws or Q for quit. Q >Result Evaluator ended Remi, I don't get the same results as you: (all the sample values of Pw, Pd, Trin and cumTrin are the same) Mine Yours 4 6 0 : 0.2745363 0.2745533 4 6 1 : 0.274543 0.2747703 4 6 10: 0.2740947 0.2773552 I'm not sure what's happening here but as you say, the Monte Carlo method doesn't give exact values. I thought that the program could be reliable to 3 decimals but maybe not... However, if I'm right about draws, the prob would slowly move towards 0.5 when the number of draws increases. I continued up to 500 draws and got the following: 4 6 100: 0.2758096 4 6 200: 0.2820387 4 6 300: 0.2906555 4 6 400: 0.3076096 4 6 500: 0.3273436 The probability for A neatly grows with more draws. OTOH I can't argue against your formulas. Give me some more time. Could you please elaborate the first formula in section "3 Draws do nout Count". How do explain 1 - p0 - p0.5 = 1 - u + up0.5 - p0.5? I'm a bit interested in the term up0.5 that seems to be superfluous. Maybe we should continue via email if no one else shows interest in the discussions. I don't know if Uri still follows it, if so shout... /Peter
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