Simulation output analysis using integrated paths II: Low bias estimators
Document Type
Article
Publication Date
6-1-2009
Abstract
This article is a sequel to a previous article that introduced a class of variance estimators for steady-state simulation output analysis. The estimators were constructed by applying a quadratic function to a vector obtained from iterated integrations of the simulation output. The previous article concentrated on deriving the limiting distributions of the estimators and on their computational efficiency for a particular choice of quadratic function. The present article considers estimators constructed from different quadratic functions, chosen mainly to reduce bias compared to the estimators of the previous article. Overlapping and nonoverlapping batch means versions of the estimators are discussed. © 2009 ACM.
Identifier
69149086742 (Scopus)
Publication Title
ACM Transactions on Modeling and Computer Simulation
External Full Text Location
https://doi.org/10.1145/1540530.1540532
e-ISSN
15581195
ISSN
10493301
Issue
3
Volume
19
Recommended Citation
Calvin, James M., "Simulation output analysis using integrated paths II: Low bias estimators" (2009). Faculty Publications. 12059.
https://digitalcommons.njit.edu/fac_pubs/12059