C. Alexopoulos, D. Goldsman, Anup C. Mokashi, Rong Nie, Qing Sun, Kai-Wen Tien, James R. Wilson
{"title":"Sequest: A sequential procedure for estimating steady-state quantiles","authors":"C. Alexopoulos, D. Goldsman, Anup C. Mokashi, Rong Nie, Qing Sun, Kai-Wen Tien, James R. Wilson","doi":"10.1109/WSC.2014.7019930","DOIUrl":null,"url":null,"abstract":"Sequest is a fully sequential procedure that delivers improved point and confidence-interval (CI) estimators for a designated steady-state quantile by exploiting a combination of ideas from batching and sectioning. Sequest incorporates effective methods to do the following: (a) eliminate bias in the sectioning-based point estimator that is caused by initialization of the simulation or an inadequate simulation run length (sample size); and (b) adjust the CI half-length for the effects of skewness or correlation in the batching-based point estimators of the designated quantile. Sequest delivers a CI designed to satisfy user-specified requirements concerning both the CI's coverage probability and its absolute or relative precision. We found that Sequest exhibited good small- and large-sample properties in a preliminary evaluation of the procedure's performance on a suite of test problems that includes some problems designed to “stress test” the procedure.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Winter Simulation Conference 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSC.2014.7019930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Sequest is a fully sequential procedure that delivers improved point and confidence-interval (CI) estimators for a designated steady-state quantile by exploiting a combination of ideas from batching and sectioning. Sequest incorporates effective methods to do the following: (a) eliminate bias in the sectioning-based point estimator that is caused by initialization of the simulation or an inadequate simulation run length (sample size); and (b) adjust the CI half-length for the effects of skewness or correlation in the batching-based point estimators of the designated quantile. Sequest delivers a CI designed to satisfy user-specified requirements concerning both the CI's coverage probability and its absolute or relative precision. We found that Sequest exhibited good small- and large-sample properties in a preliminary evaluation of the procedure's performance on a suite of test problems that includes some problems designed to “stress test” the procedure.