Article ID: | iaor20115096 |
Volume: | 23 |
Issue: | 2 |
Start Page Number: | 297 |
End Page Number: | 314 |
Publication Date: | Mar 2011 |
Journal: | INFORMS Journal on Computing |
Authors: | Steiger Natalie M, Wilson James R, Lada Emily K, Tafazzoli Ali |
Keywords: | statistics: empirical |
An analysis is given for an extensive experimental performance evaluation of Skart, an automated sequential batch means procedure for constructing an asymptotically valid confidence interval (CI) on the steady‐state mean of a simulation output process. Skart is designed to deliver a CI satisfying user‐specified requirements on absolute or relative precision as well as coverage probability. Skart exploits separate adjustments to the half‐length of the classical batch means CI so as to account for the effects on the distribution of the underlying Student's