Abstract
We consider the steady-state simulation output analysis problem for a process that satisfies a functional central limit theorem. We construct an estimator for the time-average variance constant that is based on excursions of a process above the minimum. The resulting estimator does not require a fixed run length, and the memory requirement can be dynamically bounded. Standardized time series methods based on excursions are also described.
Original language | English (US) |
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Pages (from-to) | 201-218 |
Number of pages | 18 |
Journal | Probability in the Engineering and Informational Sciences |
Volume | 24 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2010 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Management Science and Operations Research
- Industrial and Manufacturing Engineering