SIMULATION OUTPUT ANALYSIS BASED ON EXCURSIONS

We consider the steady state output analysis problem for a process that satisfies a functional central limit theorem. We construct asymptotically valid confidence intervals for the steady-state mean using normalized excursions of the simulated process. An alternative approach splits the output at the last zero crossing of the normalized path. The methods use a bounded memory of size determined by the user.