This paper presents an application of bivariate probability theory to modeling cost and schedule uncertainties. It has long been recognized that program cost and schedule are correlated; however, formal methods have not been developed in the cost analysis community to study their joint
behavior. To address this, bivariate models for approximating the joint and conditional probabilities of program cost and schedule are presented. Specifically, the bivariate lognormal and bivariate normal-lognormal models are discussed. The statistical properties of these models are provided.
A cost analysis application is presented to illustrate their use in a practical context.
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