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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lada, E.K. Wilson, J.R. |
| Copyright Year | 2006 |
| Description | Author affiliation: SAS Inst. Inc., Cary, NC (Lada, E.K.) |
| Abstract | We summarize an experimental performance evaluation of WASSP and the Heidelberger-Welch (HW) algorithm, two sequential spectral procedures for steady-state simulation analysis. Both procedures approximate the log-smoothed-periodogram of the batch means after suitable data-truncation to eliminate the effects of initialization bias, finally delivering a confidence-interval estimator for the mean response that satisfies user-specified half-length and coverage-probability requirements. HW uses a Cramer-von Mises test for initialization bias based on the method of standardized time series; and then HW fits a quadratic polynomial to the batch-means log-spectrum. In contrast WASSP uses the von Neumann randomness test and the Shapiro-Wilk normality test to obtain an approximately stationary Gaussian batch-means process whose log-spectrum is approximated via wavelets. Moreover, unlike HW, WASSP estimates the final sample size required to satisfy the user's confidence-interval requirements. Regarding closeness of conformance to both confidence-interval requirements, we found that WASSP outperformed HW in the given test problems |
| Starting Page | 198 |
| Ending Page | 207 |
| File Size | 147007 |
| Page Count | 10 |
| File Format | |
| ISBN | 1424405009 |
| DOI | 10.1109/WSC.2006.323074 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models Performance analysis Testing Frequency estimation Steady-state Synthetic aperture sonar Computational modeling Systems engineering and theory Algorithm design and analysis Polynomials |
| Content Type | Text |
| Resource Type | Article |
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