Accounting for parameter uncertainty in simulation input modeling

Formulates a Bayesian approach to probabilistic input modeling for simulation experiments that accounts for the parameter and stochastic uncertainties inherent in most simulations. Evaluation of the Bayesian approach; Use of prior information to construct prior distributions on the parameters of the input processes; Computation of the posterior parameter distributions.