{"id":"https://openalex.org/W4238954853","doi":"https://doi.org/10.1109/wsc.2017.8247922","title":"Variance and derivative estimation for virtual performance in simulation analytics","display_name":"Variance and derivative estimation for virtual performance in simulation analytics","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W4238954853","doi":"https://doi.org/10.1109/wsc.2017.8247922"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2017.8247922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8247922","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5040655130","display_name":"Yujing Lin","orcid":"https://orcid.org/0000-0003-4730-1030"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yujing Lin","raw_affiliation_strings":["Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026731126","display_name":"Barry L. Nelson","orcid":"https://orcid.org/0000-0002-1325-2624"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barry L. Nelson","raw_affiliation_strings":["Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040655130"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.4437,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67064846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"1856","last_page":"1867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9976000189781189,"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":0.9641000032424927,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.830194354057312},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.7211642265319824},{"id":"https://openalex.org/keywords/derivative","display_name":"Derivative (finance)","score":0.6878493428230286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.560826301574707},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5418910980224609},{"id":"https://openalex.org/keywords/sample-variance","display_name":"Sample variance","score":0.47543787956237793},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.41128820180892944},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3847557008266449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36778724193573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29349565505981445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.289747416973114}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.830194354057312},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.7211642265319824},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.6878493428230286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.560826301574707},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5418910980224609},{"id":"https://openalex.org/C2993021520","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Sample variance","level":3,"score":0.47543787956237793},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.41128820180892944},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3847557008266449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36778724193573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29349565505981445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.289747416973114},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2017.8247922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8247922","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W78182116","https://openalex.org/W1965909414","https://openalex.org/W1976834773","https://openalex.org/W2041472063","https://openalex.org/W2043726547","https://openalex.org/W2144366961","https://openalex.org/W2222581332","https://openalex.org/W2411801785","https://openalex.org/W2752074611","https://openalex.org/W2945935565","https://openalex.org/W4238954853","https://openalex.org/W4249168415","https://openalex.org/W6603191184","https://openalex.org/W6715221174","https://openalex.org/W6732473529","https://openalex.org/W6762590575"],"related_works":["https://openalex.org/W3122602933","https://openalex.org/W2950038056","https://openalex.org/W1544940847","https://openalex.org/W2289285490","https://openalex.org/W1988636429","https://openalex.org/W4235494239","https://openalex.org/W2011745414","https://openalex.org/W2012219669","https://openalex.org/W1973139838","https://openalex.org/W2594015869"],"abstract_inverted_index":{"Virtual":[0,45],"performance":[1,7,110],"is":[2,42,128],"a":[3,11,21,30,34,91],"class":[4],"of":[5,29,49,71,78,111,134],"time-dependent":[6],"measures":[8],"conditional":[9],"on":[10],"particular":[12],"event":[13],"occurring":[14],"at":[15,36],"timet":[16],"<sub":[17,39],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[18,40],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sub>":[19,41],"for":[20,64,68,97,102],"(possibly)":[22],"nonstationary":[23],"stochastic":[24],"process;":[25],"virtual":[26,51,79,135],"waiting":[27],"time":[28,37],"customer":[31],"arriving":[32],"to":[33,61,76],"queue":[35],"t":[38],"one":[43],"example.":[44],"statistics":[46],"are":[47],"estimators":[48,63,116],"the":[50,59,65,69,72,99,103,109,132],"performance.":[52,136],"In":[53],"this":[54],"paper,":[55],"we":[56],"go":[57],"beyond":[58],"mean":[60,73,133],"propose":[62],"variance,":[66],"and":[67,85,107,114,122],"derivative":[70,115,123],"with":[74],"respect":[75],"time,":[77],"performance,":[80],"examining":[81],"both":[82,112],"their":[83],"small-sample":[84],"asymptotic":[86],"properties.":[87],"We":[88],"also":[89],"provide":[90,124],"modified":[92],"K-fold":[93],"cross":[94],"validation":[95],"method":[96],"tuning":[98],"parameter":[100],"k":[101],"difference-based":[104],"variance":[105,113,121],"estimator,":[106],"evaluate":[108],"via":[117],"controlled":[118],"studies.":[119],"The":[120],"useful":[125],"information":[126],"that":[127],"not":[129],"apparent":[130],"in":[131]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}