Generating beta random rate variables from probabilistic estimates of fireline production times

Abstract

An extension of probabilistic PERT/CPM is proposed as a framework for soliciting expert opinion to characterize random variables for stochastic treatment in simulation models. By eliciting minimum, modal, ninetieth percentile, and maximum estimates, the distribution of variables with probability density functions of beta form can be explicitly characterized… (More)
DOI: 10.1023/A:1018945906565

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