Ray,
Thanks for your response. (I do not have enough stats to understand it
fully though) If you could suffer me once more, I have contrived an
example, hopefully to benefit my understanding. Can I please ask you
to walk me through to the solution?
A = N(mean 0,variance 1), B = N(2,2) and C = N(3,4)
What is the probability that A is greater than B and C
Thanks again,
Dave

[EMAIL PROTECTED] (Ray Koopman) wrote in message news:<[EMAIL PROTECTED]>...
> 
> 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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