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Conditional Means and Covariances of Normal Variables with Singular Covariance Matrix

George Marsaglia
Journal of the American Statistical Association
Vol. 59, No. 308 (Dec., 1964), pp. 1203-1204
DOI: 10.2307/2282635
Stable URL: http://www.jstor.org/stable/2282635
Page Count: 2
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Abstract

This note gives formulas for conditional means and covariances--formulas which are valid even when the joint distribution is singular. The method is algebraic; it applies to any joint distribution for which independence and zero correlation are equivalent.

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