Given a stationary simulation process with unknown mean µ , interest frequently lies in, and various methods exist for, developing estimates and confidence intervals for µ . Typ...
We formulate and evaluate distribution-free statistical process control (SPC) charts for monitoring an autocorrelated process when a training data set is used to estimate the marg...
Joongsup Lee, Christos Alexopoulos, David Goldsman...
We estimate the variance parameter of a stationary simulation-generated process using “folded” versions of standardized time series area estimators. We formulate improved vari...
Claudia Antonini, Christos Alexopoulos, David Gold...
We develop new confidence-interval estimators for the mean and variance parameter of a steady-state simulation output process. These confidence intervals are based on optimal li...