A review of the statistical foundation of a class of probabilistic planning models |
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| Authors: | John F. Kottas |
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| Affiliation: | School of Business Administration, College of William and Mary, Williamsburg, VA 23185, U.S.A.;College of Business and Economics, Washington State University, Pullman, WA 99163, U.S.A. |
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| Abstract: | There exists a large group of probabilistic managerial planning models whose statistical problem consists of deriving the stochastic characteristics of a performance criterion defined as a function of several other random variables. This paper provides a unified statistical framework for such models by blending together various concepts and techniques in distribution theory and random-variate generation. |
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