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Abstract For the general case of jointly distributed random variables x and y, Goodman 3 derives the exact variance of the product xy. For the special case where x and y are stochastically independent, he provides a simpler expression for the exact variance. We offer a weaker set of assumptions which suffices to yield the simpler expression. We then extend Goodman's analysis to present the exact covariance of two products xy and uv, and sketch several specializations and applications.
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George W. Bohrnstedt
American Institutes for Research
Arthur S. Goldberger
University of Wisconsin System
Journal of the American Statistical Association
University of Wisconsin–Madison
University of Minnesota
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Bohrnstedt et al. (Mon,) studied this question.
synapsesocial.com/papers/6a0a108d30285ee4a1342c30 — DOI: https://doi.org/10.1080/01621459.1969.10501069