This paper provides a unified development of the method of control variates for simulation experiments in which the objective is estimation of a multiresponse metamodel---that is, a linear model for an output vector of simulation performance measures expressed in terms of an input vector of...

Estimation efficiency is an increasingly important issue in the design and analysis of large-scale simulation experiments. This paper surveys recent research on the major variance reduction techniques that have been developed for or adapted to Monte Carlo studies. Current unresolved problems and...

Fisheries managers and advisors in developing countries face challenges that may be difficult to overcome, because they use doctrines, principles and models of management and economics that do not adequately explain the problems that need to be solved. This may perpetuate non-sustainable...

We formulate and evaluate the Automated Simulation Analysis Procedure (ASAP), an algorithm for steady-state simulation output analysis based on the method of nonover-lapping batch means (NOBM). ASAP delivers a confidence interval for an expected response that is centered on the sample mean of a...