Hi All,
I am trying to replicate some analyses from a paper, and I came across the following sentence:
"X1, X2, and X3 are multivariate normal with means zero, variances of (2, 1, 1) and covariances of (1,−1,−0.5) respectively."
Can someone tell me how to define the covariance matrix as described above? This rest is easy enough:
*** code****
matrix m = (0,0,0)
matrix sd = (sqrt(2),1,1)
matrix C = ?
drawnorm X1 X2 X3, n(1000) means(m) sds(sd) cov(C)
Thanks in advance
Ariel
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