[EMAIL PROTECTED] (David) wrote in message 
news:<[EMAIL PROTECTED]>...
> Thanks in advance for any time spent helping me with this one:
> A, B and C are 3 Normally distributed variables with known parameters.
> Does anyone know of method(s) to determine the probability of A
> beating B and C in a 3 man field? I am hoping to find an analytical
> solution, but other suggestions would be welcome also.
> Thanks again

I assume that you mean (A,B,C) is trivariate normal, with known mean
vector and covariance matrix. Let X = A-B and Y = A-C. Then (X,Y) is
bivariate normal with known mean vector and covariance matrix, and your
question is "What is the probability of observing (X > 0, Y > 0)?".

Let u = Mean(X)/SD(X), v = Mean(Y)/SD(Y), w = Cov(X,Y)/(SD(X)SD(Y)).
Let F(z) denote the standard normal cdf, and let f(x,y,r) denote
the bivariate standard normal pdf. Then Pearson (~1901) showed that
your desired probability is Integral_0^w f(u,v,r)dr + F(u)F(v).
.
.
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