{"id":"https://openalex.org/W4247922732","doi":"https://doi.org/10.1109/wsc.2010.5678971","title":"Selecting small quantiles","display_name":"Selecting small quantiles","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W4247922732","doi":"https://doi.org/10.1109/wsc.2010.5678971"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2010.5678971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2010.5678971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Winter Simulation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055129023","display_name":"Raghu Pasupathy","orcid":"https://orcid.org/0000-0003-3680-1478"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raghu Pasupathy","raw_affiliation_strings":["Industrial and Systems Engineering Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial and Systems Engineering Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018546952","display_name":"Roberto Szechtman","orcid":null},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roberto Szechtman","raw_affiliation_strings":["Operations Research Department, Naval Postgraduate School, Monterey, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Operations Research Department, Naval Postgraduate School, Monterey, CA, USA","institution_ids":["https://openalex.org/I35364215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034172978","display_name":"Enver Y\u00fccesan","orcid":"https://orcid.org/0000-0002-0808-6553"},"institutions":[{"id":"https://openalex.org/I102272798","display_name":"INSEAD","ror":"https://ror.org/00ghzk478","country_code":"FR","type":"education","lineage":["https://openalex.org/I102272798"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Enver Yucesan","raw_affiliation_strings":["Technology and Operations Management Area, INSEAD, Fontainebleau, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technology and Operations Management Area, INSEAD, Fontainebleau, FRANCE","institution_ids":["https://openalex.org/I102272798"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5063,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71917247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"99","issue":null,"first_page":"2762","last_page":"2770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.9100877642631531},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7313637137413025},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7270714044570923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7026139497756958},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5482013821601868},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48473498225212097},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.47928351163864136},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4585154056549072},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4196867346763611},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33810657262802124},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.25952407717704773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24067473411560059},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21703222393989563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21386194229125977}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.9100877642631531},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7313637137413025},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7270714044570923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026139497756958},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5482013821601868},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48473498225212097},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.47928351163864136},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4585154056549072},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4196867346763611},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33810657262802124},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.25952407717704773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24067473411560059},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21703222393989563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21386194229125977},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2010.5678971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2010.5678971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Winter Simulation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W193906582","https://openalex.org/W1985734023","https://openalex.org/W1990375761","https://openalex.org/W2031455838","https://openalex.org/W2032148197","https://openalex.org/W2092868272","https://openalex.org/W2150665263","https://openalex.org/W2162476997","https://openalex.org/W2797333853","https://openalex.org/W3148687029","https://openalex.org/W4212920552","https://openalex.org/W6607824206","https://openalex.org/W6648306820"],"related_works":["https://openalex.org/W1488761988","https://openalex.org/W2044551864","https://openalex.org/W1572557500","https://openalex.org/W3124946120","https://openalex.org/W4390690393","https://openalex.org/W2047938026","https://openalex.org/W2585269888","https://openalex.org/W3132003399","https://openalex.org/W4293365552","https://openalex.org/W2127999608"],"abstract_inverted_index":{"Ranking":[0],"and":[1,119,130],"selection":[2,120],"(R&S)":[3],"techniques":[4,45],"are":[5],"statistical":[6,44],"methods":[7],"developed":[8],"to":[9],"select":[10],"the":[11,41,54,60,73,76,88,97,115,128,132,138],"best":[12],"system,":[13],"or":[14],"a":[15,21,107],"subset":[16],"of":[17,23,38,43,53,63,75,79,99,117],"systems":[18],"from":[19],"among":[20],"set":[22],"alternative":[24],"system":[25,100],"designs.":[26,65],"R&S":[27,55],"via":[28],"simulation":[29,39],"is":[30],"particularly":[31],"appealing":[32],"as":[33,83],"it":[34],"combines":[35],"modeling":[36],"flexibility":[37],"with":[40,106],"efficiency":[42],"for":[46],"effective":[47],"decision":[48],"making.":[49],"The":[50],"overwhelming":[51],"majority":[52],"research,":[56],"however,":[57],"focuses":[58],"on":[59,122],"expected":[61,90],"performance":[62,77,101],"competing":[64],"Alternatively,":[66],"quantiles,":[67],"which":[68],"provide":[69],"additional":[70],"information":[71],"about":[72],"distribution":[74],"measure":[78],"interest,":[80],"may":[81],"serve":[82],"better":[84],"risk":[85],"measures":[86],"than":[87],"usual":[89],"value.":[91],"In":[92,110,124],"stochastic":[93],"systems,":[94],"quantiles":[95],"indicate":[96],"level":[98],"that":[102],"can":[103],"be":[104],"delivered":[105],"specified":[108],"probability.":[109],"this":[111],"paper,":[112],"we":[113,126],"address":[114],"problem":[116,129],"ranking":[118],"based":[121],"quantiles.":[123],"particular,":[125],"formulate":[127],"characterize":[131],"optimal":[133],"budget":[134],"allocation":[135],"scheme":[136],"using":[137],"large":[139],"deviations":[140],"theory.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}