Stationarity tests and MSER-5: Exploring the intuition behind mean-squared-error-reduction in detecting and correcting initialization bias
We explore the reasoning behind MSER-5, an efficient and effective truncation heuristic for reducing initialization bias in steady-state simulation. We also compare MSER-5 with the KPSS stationarity test as one means of investigating the possibility that MSER's effectiveness is the result of it...
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creator | Franklin, William W. White, K. Preston |
description | We explore the reasoning behind MSER-5, an efficient and effective truncation heuristic for reducing initialization bias in steady-state simulation. We also compare MSER-5 with the KPSS stationarity test as one means of investigating the possibility that MSER's effectiveness is the result of its utility as a stationarity measure. Conversely, this comparison also lets us explore whether or not a stationarity test from the time-series literature can be used as an effective initialization bias-control heuristic. Finally, we investigate the use of an alternative form of MSER-5 that uses a variance estimator that adjusts for serial correlation. |
doi_str_mv | 10.1109/WSC.2008.4736111 |
format | Conference Proceeding |
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Finally, we investigate the use of an alternative form of MSER-5 that uses a variance estimator that adjusts for serial correlation.</description><subject>Bandwidth</subject><subject>Computational efficiency</subject><subject>Computational modeling</subject><subject>Convergence</subject><subject>Costs</subject><subject>Probability</subject><subject>Statistics</subject><subject>Steady-state</subject><subject>System testing</subject><subject>Systems engineering and theory</subject><issn>0891-7736</issn><issn>1558-4305</issn><isbn>9781424427079</isbn><isbn>142442707X</isbn><isbn>9781424427086</isbn><isbn>1424427088</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1OwzAQhM1PJULpHYmLX8DFTuzY4Yaq8iMVIVEQx2rjbKhRmxTHlVoegafGpb1w2l3tzCfNEHIp-FAIXly_T0fDlHMzlDrLhRBHZFBoI2QqZaq5yY9JIpQyTGZcnfz76eKUJNwUgulo7ZHEaJYrKUx6Rs677pNzYZRIE_IzDRBc24B3YUsDdqGj0FT0aTp-YeqGjjerRetd80HDHKlrwtrt5LTEuYuyJULDuq81eKwYet96Fre1_dO4hlYYMB7RvoPa1vvD6ZrIgYX7hj3OQXdBejUsOhwcZp-83Y1fRw9s8nz_OLqdMCe4CkxCzSuDUGJeWdBqlzgTMauUaCyXMZcqVGZtDbG6tECdlxZrW4q6yooKsj652nMdIs5W3i3Bb2eHirNfa_9sUg</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Franklin, William W.</creator><creator>White, K. 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Preston</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Franklin, William W.</au><au>White, K. Preston</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Stationarity tests and MSER-5: Exploring the intuition behind mean-squared-error-reduction in detecting and correcting initialization bias</atitle><btitle>2008 Winter Simulation Conference</btitle><stitle>WSC</stitle><date>2008-12</date><risdate>2008</risdate><spage>541</spage><epage>546</epage><pages>541-546</pages><issn>0891-7736</issn><eissn>1558-4305</eissn><isbn>9781424427079</isbn><isbn>142442707X</isbn><eisbn>9781424427086</eisbn><eisbn>1424427088</eisbn><abstract>We explore the reasoning behind MSER-5, an efficient and effective truncation heuristic for reducing initialization bias in steady-state simulation. We also compare MSER-5 with the KPSS stationarity test as one means of investigating the possibility that MSER's effectiveness is the result of its utility as a stationarity measure. Conversely, this comparison also lets us explore whether or not a stationarity test from the time-series literature can be used as an effective initialization bias-control heuristic. Finally, we investigate the use of an alternative form of MSER-5 that uses a variance estimator that adjusts for serial correlation.</abstract><pub>IEEE</pub><doi>10.1109/WSC.2008.4736111</doi><tpages>6</tpages></addata></record> |
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subjects | Bandwidth Computational efficiency Computational modeling Convergence Costs Probability Statistics Steady-state System testing Systems engineering and theory |
title | Stationarity tests and MSER-5: Exploring the intuition behind mean-squared-error-reduction in detecting and correcting initialization bias |
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