{"id":"https://openalex.org/W3146923195","doi":"https://doi.org/10.1109/wsc.2011.6148095","title":"Ordinal optimization: A nonparametric framework","display_name":"Ordinal optimization: A nonparametric framework","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W3146923195","doi":"https://doi.org/10.1109/wsc.2011.6148095","mag":"3146923195"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2011.6148095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6148095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"article","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/A5019114258","display_name":"Peter W. Glynn","orcid":"https://orcid.org/0000-0003-1370-6638"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peter W. Glynn","raw_affiliation_strings":["Department of Management Science and Engineering, University of Stanford, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Management Science and Engineering, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109269131","display_name":"Sandeep Juneja","orcid":null},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandeep Juneja","raw_affiliation_strings":["School of Technology and Computer Science, Tata Institute of Fundamental Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"School of Technology and Computer Science, Tata Institute of Fundamental Research, Mumbai, India","institution_ids":["https://openalex.org/I11947397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019114258"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.8194,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79587374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"40","issue":null,"first_page":"4057","last_page":"4064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9951000213623047,"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":0.9951000213623047,"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":0.9930999875068665,"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":0.9711999893188477,"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/ordinal-optimization","display_name":"Ordinal optimization","score":0.6932527422904968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6339254379272461},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6273534297943115},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5993550419807434},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5847922563552856},{"id":"https://openalex.org/keywords/large-deviations-theory","display_name":"Large deviations theory","score":0.5731453895568848},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.48228052258491516},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42137277126312256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4190558195114136},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.2786327600479126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2722027003765106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1932392716407776},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16104355454444885}],"concepts":[{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.6932527422904968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6339254379272461},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6273534297943115},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5993550419807434},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5847922563552856},{"id":"https://openalex.org/C75438885","wikidata":"https://www.wikidata.org/wiki/Q3403615","display_name":"Large deviations theory","level":2,"score":0.5731453895568848},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.48228052258491516},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42137277126312256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4190558195114136},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.2786327600479126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2722027003765106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1932392716407776},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16104355454444885},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2011.6148095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6148095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.4817","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-sim.org/wsc11papers/361.pdf","raw_type":"text"}],"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/W1536615069","https://openalex.org/W1975520417","https://openalex.org/W2073262880","https://openalex.org/W2085300404","https://openalex.org/W2122470810","https://openalex.org/W2143317495","https://openalex.org/W2166274157","https://openalex.org/W3159825379","https://openalex.org/W4212920552","https://openalex.org/W4236356291","https://openalex.org/W4248492996","https://openalex.org/W4299432846","https://openalex.org/W6681277988"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W2529605301","https://openalex.org/W4237896776","https://openalex.org/W4231665652","https://openalex.org/W1837630526","https://openalex.org/W4388585513","https://openalex.org/W2134687694","https://openalex.org/W2781783332","https://openalex.org/W2376524812","https://openalex.org/W2119002026"],"abstract_inverted_index":{"Simulation-based":[0],"ordinal":[1,121],"optimization":[2,122],"has":[3],"frequently":[4],"relied":[5],"on":[6,124],"large":[7,50,58,99,114],"deviations":[8,59,100,115],"analysis":[9],"as":[10],"a":[11,37],"theoretical":[12],"device":[13],"for":[14],"arguing":[15],"that":[16,45,84,109,145],"it":[17,103],"is":[18],"computationally":[19],"easier":[20],"to":[21,31,54,76,80,105],"identify":[22],"the":[23,33,56,63,67,81,90,97,125,137],"best":[24],"system":[25],"out":[26],"of":[27,36,48,62,92,127],"d":[28],"alternatives":[29],"than":[30],"estimate":[32,55,77],"actual":[34],"performance":[35],"given":[38],"design.":[39],"In":[40],"this":[41,88],"paper,":[42],"we":[43,119,143],"argue":[44],"practical":[46],"implementation":[47],"these":[49],"deviations-based":[51],"methods":[52],"need":[53],"underlying":[57,98],"rate":[60,72],"functions":[61,73],"competing":[64],"designs":[65],"from":[66],"samples":[68],"generated.":[69],"Because":[70],"such":[71],"are":[74,110,141],"difficult":[75,104],"accurately":[78],"(due":[79],"heavy":[82],"tails":[83],"naturally":[85],"arise":[86],"in":[87],"setting),":[89],"probability":[91],"mis-estimation":[93],"will":[94],"generally":[95],"dominate":[96],"probability,":[101],"making":[102],"build":[106],"reliable":[107],"algorithms":[108,123,150],"supported":[111],"theoretically":[112],"through":[113],"analysis.":[116],"However,":[117],"when":[118,136],"justify":[120],"basis":[126],"guaranteed":[128],"finite":[129],"sample":[130],"bounds":[131],"(as":[132],"can":[133,151],"be":[134,152],"done":[135],"associated":[138],"random":[139],"variables":[140],"bounded),":[142],"show":[144],"satisfactory":[146],"and":[147],"practically":[148],"implementable":[149],"designed.":[153]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
