{"id":"https://openalex.org/W4313302812","doi":"https://doi.org/10.1080/01605682.2022.2157765","title":"How to peel a data envelopment analysis frontier: A cross-validation-based approach","display_name":"How to peel a data envelopment analysis frontier: A cross-validation-based approach","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4313302812","doi":"https://doi.org/10.1080/01605682.2022.2157765"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2022.2157765","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2022.2157765","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-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/A5043945029","display_name":"Juan Aparicio","orcid":"https://orcid.org/0000-0002-0867-0004"},"institutions":[{"id":"https://openalex.org/I111262870","display_name":"Universitat de Miguel Hern\u00e1ndez d'Elx","ror":"https://ror.org/01azzms13","country_code":"ES","type":"education","lineage":["https://openalex.org/I111262870"]},{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Juan Aparicio","raw_affiliation_strings":["Miguel Hernandez University, Elche, Spain","Valencian Graduate School and Research Network of Artificial Intelligence (valgrAI), Valencia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-0867-0004","affiliations":[{"raw_affiliation_string":"Miguel Hernandez University, Elche, Spain","institution_ids":["https://openalex.org/I111262870"]},{"raw_affiliation_string":"Valencian Graduate School and Research Network of Artificial Intelligence (valgrAI), Valencia, Spain","institution_ids":["https://openalex.org/I4210131846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001860877","display_name":"Miriam Esteve","orcid":"https://orcid.org/0000-0002-5908-0581"},"institutions":[{"id":"https://openalex.org/I111262870","display_name":"Universitat de Miguel Hern\u00e1ndez d'Elx","ror":"https://ror.org/01azzms13","country_code":"ES","type":"education","lineage":["https://openalex.org/I111262870"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miriam Esteve","raw_affiliation_strings":["Miguel Hernandez University, Elche, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Miguel Hernandez University, Elche, Spain","institution_ids":["https://openalex.org/I111262870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043945029"],"corresponding_institution_ids":["https://openalex.org/I111262870","https://openalex.org/I4210131846"],"apc_list":null,"apc_paid":null,"fwci":1.017,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79307905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"74","issue":"12","first_page":"2558","last_page":"2572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9998999834060669,"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/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9998999834060669,"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/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.8978514671325684},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8850342035293579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.610163152217865},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5426090955734253},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4861707091331482},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4811367094516754},{"id":"https://openalex.org/keywords/production\u2013possibility-frontier","display_name":"Production\u2013possibility frontier","score":0.4573703110218048},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4381885528564453},{"id":"https://openalex.org/keywords/efficient-frontier","display_name":"Efficient frontier","score":0.4130798876285553},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3497387766838074},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32634568214416504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26559001207351685},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.24104145169258118},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2032185196876526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1377745270729065}],"concepts":[{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.8978514671325684},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8850342035293579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610163152217865},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5426090955734253},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4861707091331482},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4811367094516754},{"id":"https://openalex.org/C34778210","wikidata":"https://www.wikidata.org/wiki/Q376791","display_name":"Production\u2013possibility frontier","level":3,"score":0.4573703110218048},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4381885528564453},{"id":"https://openalex.org/C51485801","wikidata":"https://www.wikidata.org/wiki/Q16966861","display_name":"Efficient frontier","level":3,"score":0.4130798876285553},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3497387766838074},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32634568214416504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26559001207351685},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.24104145169258118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2032185196876526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1377745270729065},{"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/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01605682.2022.2157765","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2022.2157765","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjorxx:v:74:y:2023:i:12:p:2558-2572","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/01605682.2022.2157765","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W1762127812","https://openalex.org/W1971879434","https://openalex.org/W1975935631","https://openalex.org/W1983133962","https://openalex.org/W1990351156","https://openalex.org/W2056619877","https://openalex.org/W2057765310","https://openalex.org/W2063022197","https://openalex.org/W2076452041","https://openalex.org/W2118825750","https://openalex.org/W2129763896","https://openalex.org/W2134675596","https://openalex.org/W2136911682","https://openalex.org/W2137994820","https://openalex.org/W2142947888","https://openalex.org/W2169742728","https://openalex.org/W2400069463","https://openalex.org/W2606465144","https://openalex.org/W2738051499","https://openalex.org/W2787894218","https://openalex.org/W2911964244","https://openalex.org/W3034419191","https://openalex.org/W3045882059","https://openalex.org/W3121991191","https://openalex.org/W3141758203","https://openalex.org/W3162375180","https://openalex.org/W3162814516","https://openalex.org/W3175294598","https://openalex.org/W3195613663","https://openalex.org/W3196581908","https://openalex.org/W4205954437","https://openalex.org/W4220900423","https://openalex.org/W4401226504","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W1980707780","https://openalex.org/W2011801048","https://openalex.org/W2060124870","https://openalex.org/W1534463048","https://openalex.org/W2192909191","https://openalex.org/W1969584213","https://openalex.org/W2012595567","https://openalex.org/W4387851133","https://openalex.org/W2919289497","https://openalex.org/W2015126608"],"abstract_inverted_index":{"Data":[0,83],"Envelopment":[1],"Analysis":[2],"(DEA)":[3],"presents":[4],"the":[5,13,30,67,81,89,92,108,122,146,167,177],"typical":[6],"characteristics":[7],"of":[8,16,61,80,91,148],"a":[9,58,62,77,95,103,131,160,174,187],"data-driven":[10],"approach":[11,154],"with":[12,43,112],"specific":[14],"objective":[15],"determining":[17],"technical":[18],"efficiency":[19],"and":[20,25,142],"production":[21,96],"frontiers":[22],"in":[23,47,73,94,140],"Engineering":[24],"Microeconomics.":[26],"However,":[27],"by":[28,34,157],"construction,":[29],"frontier":[31,125],"estimator":[32],"generated":[33],"DEA":[35,53,113,124,179],"suffers":[36],"from":[37],"overfitting":[38,72,109],"problems;":[39],"something":[40],"that":[41,86,114],"contrasts":[42],"currently":[44],"accepted":[45],"models":[46],"machine":[48],"learning.":[49],"In":[50,98],"this":[51,99],"regard,":[52],"can":[54],"be":[55,171],"seen":[56],"as":[57,173],"preliminary":[59],"stage":[60],"more":[63],"complex":[64],"approach,":[65],"where":[66],"aim":[68],"is":[69,87,115,151,155],"to":[70,75,106,159,176],"avoid":[71],"order":[74],"determine":[76],"proper":[78],"description":[79],"underlying":[82],"Generating":[84],"Process":[85],"behind":[88],"generation":[90],"observations":[93],"process.":[97],"paper,":[100],"we":[101,164],"introduce":[102],"possible":[104],"solution":[105],"overcome":[107],"problem":[110],"associated":[111],"based":[116,185],"on":[117,186],"cross-validation.":[118],"This":[119],"process":[120],"\u201cpeels\u201d":[121],"standard":[123,178],"(removing":[126],"certain":[127],"supporting":[128],"hyperplanes)":[129],"until":[130],"new":[132,168],"convex":[133],"technology,":[134],"which":[135],"also":[136],"satisfies":[137],"free":[138],"disposability":[139],"inputs":[141],"outputs":[143],"but":[144],"not":[145],"principle":[147],"minimal":[149],"extrapolation,":[150],"determined.":[152],"Our":[153],"tested":[156],"resorting":[158],"computational":[161],"experience.":[162],"Additionally,":[163],"illustrate":[165],"how":[166],"method":[169],"could":[170],"used":[172],"complement":[175],"technique":[180],"through":[181],"an":[182],"empirical":[183],"application":[184],"PISA":[188],"(Programme":[189],"for":[190],"International":[191],"Student":[192],"Assessment)":[193],"dataset.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}