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A thorough experimental evaluation shows that integrated and seasonal time-series models constitute very promising metamodels, especially for analyzing queueing system simulations under congested or cyclical traffic conditions. In some situations, stationarity-inducing transformations may be required before this methodology can be used. Our approach for efficient estimation of meaningful performance measures of selected responses in the target system is illustrated using a set of case studies taken from the simulation literature.<\/jats:p>","DOI":"10.1145\/1502787.1502792","type":"journal-article","created":{"date-parts":[[2009,4,6]],"date-time":"2009-04-06T16:34:22Z","timestamp":1239035662000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Analysis of nonstationary stochastic simulations using classical time-series models"],"prefix":"10.1145","volume":"19","author":[{"given":"Rita Marques","family":"Brand\u00e3o","sequence":"first","affiliation":[{"name":"Universidade dos A\u00e7ores and Centro de Estudos de Gest\u00e3o do IST, Ponta Delgada, Portugal"}]},{"given":"Ac\u00e1cio M. O. 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