Math to learn

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  • _bester_tuff
    SBR Rookie
    • 07-01-11
    • 25

    #1
    Math to learn
    Hi,
    I have weed through some thread on math here, and let me quote of them them in a wee bit before I put a question:
    Define the logit function of a probability p as the log of the "fair" fractional payout odds p/(1-p) so that:
    lg(p) = ln(p) - ln(1-p)
    inverted:
    p = exp(lg(p)) (1+exp(lg(p)))
    This gives us:
    lg(A) = ln(35%) - ln(1-35%) ≈ -0.6190392084
    lg(B) = ln(49%) - ln(1-49%) ≈ -0.0400053346
    lg(H*) = ln(50%) - ln(50%) ≈ 0
    So from Bayes' Theorem:
    lg(P) = lg(A) - lg(B) - lg(H*)
    lg(P) ≈ -0.6190392084 - -0.0400053346 - 0 ≈ -0.5790338738
    Solving for P we have:
    exp(lg(P)) ≈ exp(-0.5790338738) ≈ 0.5604395604
    P = 0.5604395604 (1+0.5604395604) ≈ 35.915%
    from here http://forum.sbrforum.com/handicappe...ml#post1216316

    or

    Method 1:
    So from Bayes' theorem:
    P( Xh | H ) = P( H | Xn ) * P ( Xn ) / P(H)
    Directly from Bayes' Theorem:
    P(H) = P(Xn) * P( H | Xn ) + (1- P(Xn) * ( 1 - P( H | Xn ))
    Substituting in to the P( Xh | H ) equality above gives us:
    P( Xh | H ) = P( H | Xn ) * P ( Xn ) / (P(Xn) * P( H | Xn ) + (1- P(Xn) * ( 1 - P( H | Xn ) ) )
    So in the first case we have:
    P(Xn) = 1/7
    P( H | Xn ) = 61%
    Which yields:
    P( Xh | H ) = 61% * 1/7 / ( 61% * 1/7 + (1- 61%) * ( 1 - 1/7 ) ) ≈ 20.678%
    http://forum.sbrforum.com/handicappe...ml#post1253669

    My issue: I can't get this math here but badly want to be able to set correct odds. What math theories (not sure this is a word I am looking for) do I have to handle to understand these calculations? I bare in mind which exact math section from the whole Math do I need to adopt to get the understanding?
  • _bester_tuff
    SBR Rookie
    • 07-01-11
    • 25

    #2
    Does it all fall within the ambit of probability theory and logarithms perhaps?
    Comment
    • nikossf
      SBR MVP
      • 03-02-10
      • 2217

      #3
      well that would depend bester.. I would look into some probability theory and statistics.. but check out Ion Saliu..think that's how you spell it..just google it with gambling mathematics.. anyways..may help explain a little better... hope this helps, buddy..
      Comment
      • 135steward
        SBR High Roller
        • 07-28-11
        • 171

        #4
        Just for laughs

        Originally posted by nikossf
        well that would depend bester.. I would look into some probability theory and statistics.. but check out Ion Saliu..think that's how you spell it..just google it with gambling mathematics.. anyways..may help explain a little better... hope this helps, buddy..
        Saliu or whatever knows some math, but many of his ideas are absurd. His website mixes good math with bizarre conclusions. He has a website that comes out near the top of google searches relating to probability theory. Funny stuff.
        Comment
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