A splitting scheme for control variates
A splitting scheme for control variates
This paper details a new control-variate splitting scheme yielding an unbiased estimator of the mean response and an unbiased estimator of the variance of the first estimator. This scheme also yields an asymptotically exact confidence interval for the mean response. We present analytical and empirical performance comparisons of this scheme versus other control-variate procedures.
control variates, simulation experiments, splitting, variance reduction techniques
187-198
Avramidis, Athanassios N.
d6c4b6b6-c0cf-4ed1-bbe1-a539937e4001
Wilson, James R.
938b5976-c9c4-42a5-8ec9-4b36266347bb
November 1993
Avramidis, Athanassios N.
d6c4b6b6-c0cf-4ed1-bbe1-a539937e4001
Wilson, James R.
938b5976-c9c4-42a5-8ec9-4b36266347bb
Avramidis, Athanassios N. and Wilson, James R.
(1993)
A splitting scheme for control variates.
Operations Research Letters, 14 (4), .
(doi:10.1016/0167-6377(93)90069-S).
Abstract
This paper details a new control-variate splitting scheme yielding an unbiased estimator of the mean response and an unbiased estimator of the variance of the first estimator. This scheme also yields an asymptotically exact confidence interval for the mean response. We present analytical and empirical performance comparisons of this scheme versus other control-variate procedures.
Text
splv19.pdf
- Accepted Manuscript
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Published date: November 1993
Keywords:
control variates, simulation experiments, splitting, variance reduction techniques
Organisations:
Mathematical Sciences
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Local EPrints ID: 337185
URI: http://eprints.soton.ac.uk/id/eprint/337185
ISSN: 0167-6377
PURE UUID: 9f103ea6-658d-460d-93a3-6be622ce495d
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Date deposited: 27 Apr 2012 13:27
Last modified: 15 Mar 2024 03:29
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Author:
James R. Wilson
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