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A Note on Skewness in Regenerative Simulation
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2011 (English)In: Communications in statistics. Simulation and computation, ISSN 0361-0918, E-ISSN 1532-4141, Vol. 40, no 1, 45-57 p.Article in journal (Refereed) Published
Abstract [en]

The purpose of this article is to show, empirically and theoretically, that performance evaluation by means of regenerative simulation often involves random variables with distributions that are heavy tailed and heavily skewed. This, in turn, leads to the variance of estimators being poorly estimated, and confidence intervals having actual coverage quite different from (typically lower than) the nominal one. We illustrate these general ideas by estimating the mean occupancy and tail probabilities in M/G/1 queues, comparing confidence intervals computed from batch means to various intervals computed from regenerative cycles. In addition, we provide theoretical results on skewness to support the empirical findings.

Place, publisher, year, edition, pages
2011. Vol. 40, no 1, 45-57 p.
Keyword [en]
ABC interval, Batch means, Busy cycle, Busy period, Coverage probability, Fieller test, Jackknife, M, G, 1 queue, Regenerative process, Regenerative simulation, Skewness
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:kth:diva-27381DOI: 10.1080/03610918.2010.526740ISI: 000284410600003Scopus ID: 2-s2.0-78649522985OAI: oai:DiVA.org:kth-27381DiVA: diva2:376770
Note
QC 20101213Available from: 2010-12-13 Created: 2010-12-13 Last updated: 2010-12-13Bibliographically approved

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