{"id":"https://openalex.org/W2935729433","doi":"https://doi.org/10.1177/0037549719844193","title":"Point-wise model validation over experimental regions using regression confidence and tolerance intervals with Bayesian relaxations","display_name":"Point-wise model validation over experimental regions using regression confidence and tolerance intervals with Bayesian relaxations","publication_year":2019,"publication_date":"2019-04-12","ids":{"openalex":"https://openalex.org/W2935729433","doi":"https://doi.org/10.1177/0037549719844193","mag":"2935729433"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549719844193","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5000366453","display_name":"Scott M. Storm","orcid":"https://orcid.org/0000-0001-8864-1475"},"institutions":[{"id":"https://openalex.org/I55061410","display_name":"U.S. Air Force Institute of Technology","ror":"https://ror.org/03f9f1d95","country_code":"US","type":"education","lineage":["https://openalex.org/I1294991024","https://openalex.org/I1330347796","https://openalex.org/I2802362820","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I55061410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott M Storm","raw_affiliation_strings":["Air Force Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Air Force Institute of Technology, USA","institution_ids":["https://openalex.org/I55061410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018634998","display_name":"Raymond R. Hill","orcid":"https://orcid.org/0000-0001-8413-8362"},"institutions":[{"id":"https://openalex.org/I55061410","display_name":"U.S. Air Force Institute of Technology","ror":"https://ror.org/03f9f1d95","country_code":"US","type":"education","lineage":["https://openalex.org/I1294991024","https://openalex.org/I1330347796","https://openalex.org/I2802362820","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I55061410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raymond R Hill","raw_affiliation_strings":["Air Force Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Air Force Institute of Technology, USA","institution_ids":["https://openalex.org/I55061410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049361082","display_name":"Joseph J. Pignatiello","orcid":"https://orcid.org/0000-0001-9126-5140"},"institutions":[{"id":"https://openalex.org/I55061410","display_name":"U.S. Air Force Institute of Technology","ror":"https://ror.org/03f9f1d95","country_code":"US","type":"education","lineage":["https://openalex.org/I1294991024","https://openalex.org/I1330347796","https://openalex.org/I2802362820","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I55061410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph J Pignatiello","raw_affiliation_strings":["Air Force Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Air Force Institute of Technology, USA","institution_ids":["https://openalex.org/I55061410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103889135","display_name":"Edward D. White","orcid":null},"institutions":[{"id":"https://openalex.org/I55061410","display_name":"U.S. Air Force Institute of Technology","ror":"https://ror.org/03f9f1d95","country_code":"US","type":"education","lineage":["https://openalex.org/I1294991024","https://openalex.org/I1330347796","https://openalex.org/I2802362820","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I55061410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward D White","raw_affiliation_strings":["Air Force Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Air Force Institute of Technology, USA","institution_ids":["https://openalex.org/I55061410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110532521","display_name":"G. Geoffrey Vining","orcid":null},"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":"G Geoffrey Vining","raw_affiliation_strings":["Virginia Polytechnic Institute Blacksburg, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute Blacksburg, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018634998"],"corresponding_institution_ids":["https://openalex.org/I55061410"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.472939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":61,"max":69},"biblio":{"volume":"96","issue":"1","first_page":"75","last_page":"87"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9998,"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"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9998,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9987,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9981,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.68829596},{"id":"https://openalex.org/keywords/model-validation","display_name":"Model Validation","score":0.4925247},{"id":"https://openalex.org/keywords/tolerance-interval","display_name":"Tolerance interval","score":0.47950178},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.42039046}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.68829596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311668},{"id":"https://openalex.org/C3019813237","wikidata":"https://www.wikidata.org/wiki/Q65089264","display_name":"Model validation","level":2,"score":0.4925247},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4850606},{"id":"https://openalex.org/C10590107","wikidata":"https://www.wikidata.org/wiki/Q7814221","display_name":"Tolerance interval","level":3,"score":0.47950178},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45147648},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.42039046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32043284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25893036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21666086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21536815},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549719844193","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":53,"referenced_works":["https://openalex.org/W1529267578","https://openalex.org/W1677020999","https://openalex.org/W1849377404","https://openalex.org/W1973329378","https://openalex.org/W1979236986","https://openalex.org/W1982668418","https://openalex.org/W1987600490","https://openalex.org/W1992521450","https://openalex.org/W1995727664","https://openalex.org/W1996670089","https://openalex.org/W2002362019","https://openalex.org/W2003463073","https://openalex.org/W2006646053","https://openalex.org/W2009689414","https://openalex.org/W2011597771","https://openalex.org/W2027873958","https://openalex.org/W2029260608","https://openalex.org/W2029461652","https://openalex.org/W2038955374","https://openalex.org/W2042335696","https://openalex.org/W2042675800","https://openalex.org/W2045816034","https://openalex.org/W2046294933","https://openalex.org/W2047909994","https://openalex.org/W2053934160","https://openalex.org/W2061249799","https://openalex.org/W2073171195","https://openalex.org/W2077109924","https://openalex.org/W2078071938","https://openalex.org/W2083793771","https://openalex.org/W2085756750","https://openalex.org/W2089308649","https://openalex.org/W2089864653","https://openalex.org/W2096045991","https://openalex.org/W2096778706","https://openalex.org/W2098772981","https://openalex.org/W2128936463","https://openalex.org/W2139807462","https://openalex.org/W2140793912","https://openalex.org/W2153490296","https://openalex.org/W2154355633","https://openalex.org/W2163918679","https://openalex.org/W2322288235","https://openalex.org/W2518730037","https://openalex.org/W3013780591","https://openalex.org/W301800434","https://openalex.org/W3112566432","https://openalex.org/W4205318658","https://openalex.org/W4211202112","https://openalex.org/W4231304761","https://openalex.org/W4233071599","https://openalex.org/W4237948290","https://openalex.org/W4251692722"],"related_works":["https://openalex.org/W4387917961","https://openalex.org/W4252817091","https://openalex.org/W4225113063","https://openalex.org/W40099239","https://openalex.org/W2792770110","https://openalex.org/W2608696267","https://openalex.org/W2584056162","https://openalex.org/W2097696154","https://openalex.org/W2082271139","https://openalex.org/W2057552560"],"abstract_inverted_index":{"As":[0],"systems":[1,20],"grow":[2],"more":[3],"complex,":[4],"so":[5],"does":[6],"our":[7],"propensity":[8],"to":[9,12,37,90,93,106,117],"use":[10],"computers":[11],"emulate":[13,54],"complex":[14],"real-world":[15,19],"systems.":[16],"Often":[17],"these":[18],"possess":[21],"dynamic":[22,56],"response":[23,83],"behavior":[24,57],"over":[25,60],"the":[26,39,61],"operational":[27],"domain":[28,34],"of":[29],"input":[30],"parameter":[31],"configurations.":[32],"This":[33,65],"is":[35,46,102,115],"referred":[36],"as":[38],"design":[40,63],"space":[41],"or":[42],"experimental":[43],"region.":[44],"It":[45],"critical":[47],"we":[48],"ensure":[49],"that":[50],"computer":[51],"models":[52],"which":[53],"such":[55],"be":[58],"validated":[59],"full":[62],"space.":[64],"paper":[66],"presents":[67],"a":[68,81,95,118],"dual-interval":[69],"validation":[70,98,121],"methodology.":[71],"Confidence":[72],"intervals":[73,76],"and":[74,108,112],"tolerance":[75],"are":[77,88],"developed":[78],"based":[79],"on":[80],"system":[82],"surface":[84],"function.":[85],"Model":[86],"samples":[87],"compared":[89],"each":[91],"interval":[92],"develop":[94],"complete":[96],"model":[97,109],"conclusion.":[99],"The":[100],"methodology":[101],"described,":[103],"its":[104],"robustness":[105],"noise":[107],"lack-of-fit":[110],"examined,":[111],"then":[113],"it":[114],"applied":[116],"well-established":[119],"engineering":[120],"challenge":[122],"problem.":[123]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2935729433","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-29T17:19:25.882409","created_date":"2019-04-25"}