{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:34:53Z","timestamp":1750307693256,"version":"3.41.0"},"reference-count":12,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2009,6,1]],"date-time":"2009-06-01T00:00:00Z","timestamp":1243814400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000147","name":"Division of Civil, Mechanical and Manufacturing Innovation","doi-asserted-by":"publisher","award":["CMMI-0825381"],"award-info":[{"award-number":["CMMI-0825381"]}],"id":[{"id":"10.13039\/100000147","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Model. Comput. Simul."],"published-print":{"date-parts":[[2009,6]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.1145\/1540530.1540532","type":"journal-article","created":{"date-parts":[[2009,8,11]],"date-time":"2009-08-11T13:29:23Z","timestamp":1249997363000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Simulation output analysis using integrated paths II"],"prefix":"10.1145","volume":"19","author":[{"given":"James M.","family":"Calvin","sequence":"first","affiliation":[{"name":"New Jersey Institute of Technology, Newark, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2009,8,11]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_1_1_1","DOI":"10.1002\/nav.20215"},{"doi-asserted-by":"publisher","key":"e_1_2_1_2_1","DOI":"10.1287\/ijoc.1060.0198"},{"doi-asserted-by":"publisher","key":"e_1_2_1_3_1","DOI":"10.1287\/opre.1070.0475"},{"unstructured":"Billingsley P. 1968. Convergence of Probability Measures. John Wiley &amp; Sons New York.  Billingsley P. 1968. Convergence of Probability Measures. John Wiley &amp; Sons New York.","key":"e_1_2_1_4_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_5_1","DOI":"10.5555\/1351542.1351609"},{"doi-asserted-by":"publisher","key":"e_1_2_1_6_1","DOI":"10.1145\/1243991.1243994"},{"doi-asserted-by":"publisher","key":"e_1_2_1_7_1","DOI":"10.1287\/mnsc.36.5.602"},{"unstructured":"Knuth D. 1997. The Art of Computer Programming Volume 1: Fundamental Algorithms 3rd ed. Addison-Wesley Reading.   Knuth D. 1997. The Art of Computer Programming Volume 1: Fundamental Algorithms 3rd ed. Addison-Wesley Reading.","key":"e_1_2_1_8_1"},{"unstructured":"Meketon M. S. and Schmeiser B. W. 1984. Overlapping batch means: something for nothing&amp;quest; In Proceedings of the 1984 Winter Simulation Conference. Institute of Electrical and Electronics Engineers Piscataway 227--230.   Meketon M. S. and Schmeiser B. W. 1984. Overlapping batch means: something for nothing&amp;quest; In Proceedings of the 1984 Winter Simulation Conference. Institute of Electrical and Electronics Engineers Piscataway 227--230.","key":"e_1_2_1_9_1"},{"doi-asserted-by":"crossref","unstructured":"Rao C. R. 1973. Linear Statistical Inference and its Applications. John Wiley New York.  Rao C. R. 1973. Linear Statistical Inference and its Applications. John Wiley New York.","key":"e_1_2_1_10_1","DOI":"10.1002\/9780470316436"},{"doi-asserted-by":"publisher","key":"e_1_2_1_11_1","DOI":"10.1287\/opre.31.6.1090"},{"doi-asserted-by":"publisher","key":"e_1_2_1_12_1","DOI":"10.1145\/268437.268487"}],"container-title":["ACM Transactions on Modeling and Computer Simulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1540530.1540532","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1540530.1540532","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T13:29:55Z","timestamp":1750253395000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1540530.1540532"}},"subtitle":["Low bias estimators"],"short-title":[],"issued":{"date-parts":[[2009,6]]},"references-count":12,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2009,6]]}},"alternative-id":["10.1145\/1540530.1540532"],"URL":"https:\/\/doi.org\/10.1145\/1540530.1540532","relation":{},"ISSN":["1049-3301","1558-1195"],"issn-type":[{"type":"print","value":"1049-3301"},{"type":"electronic","value":"1558-1195"}],"subject":[],"published":{"date-parts":[[2009,6]]},"assertion":[{"value":"2007-08-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2008-10-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2009-08-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}