A review of the statistical foundation of a class of probabilistic planning models

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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