We continue our survey of methods for constructing confidence intervals for steady-state means via simulation by studying sequential procedures which determine the length of the simulation during the course of the run. Our goal is to provide the simulation practitioner with some guidance as to...

We propose a new procedure for providing confidence-interval estimators of the mean of a covariance-stationary process. The procedure, a modification of the method of batch means, is an improvement over existing methods when the process displays strong correlation and a comparatively small...

We develop a method for constructing confidence regions on the mean vectors of multivariate processes that is based on a vector autoregressive (VAR) representation of the data-generating process. A confidence-region-construction algorithm for a general autoregressive model is given. We establish...