{"id":"https://openalex.org/W2413296822","doi":"https://doi.org/10.1080/00401706.2015.1115674","title":"RETRACTED: Design and Analysis of Experiments on Nonconvex Regions","display_name":"RETRACTED: Design and Analysis of Experiments on Nonconvex Regions","publication_year":2015,"publication_date":"2015-11-16","ids":{"openalex":"https://openalex.org/W2413296822","doi":"https://doi.org/10.1080/00401706.2015.1115674","mag":"2413296822"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2015.1115674","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2015.1115674","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","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/A5017663051","display_name":"Matthew T. Pratola","orcid":"https://orcid.org/0000-0003-4146-2861"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew T. Pratola","raw_affiliation_strings":[",","Department of Statistics, The Ohio State University, Columbus, OH 43210 ()"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics, The Ohio State University, Columbus, OH 43210 ()","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067792222","display_name":"Ofir Harari","orcid":"https://orcid.org/0000-0002-2901-0558"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ofir Harari","raw_affiliation_strings":[",","Department of Statistics & Actuarial Sciences, Simon Fraser University Burnaby, V5A 1S6, B.C., Canada"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics & Actuarial Sciences, Simon Fraser University Burnaby, V5A 1S6, B.C., Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060689409","display_name":"Derek Bingham","orcid":"https://orcid.org/0000-0001-5628-7256"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Derek Bingham","raw_affiliation_strings":[",","Department of Statistics & Actuarial Sciences, Simon Fraser University Burnaby, V5A 1S6, B.C., Canada"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics & Actuarial Sciences, Simon Fraser University Burnaby, V5A 1S6, B.C., Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045013234","display_name":"Gwenn E. Flowers","orcid":"https://orcid.org/0000-0002-3574-9324"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gwenn E. Flowers","raw_affiliation_strings":[",","Department of Earth Sciences, Simon Fraser University Burnaby, V5A 1S6, B.C., Canada"],"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Earth Sciences, Simon Fraser University Burnaby, V5A 1S6, B.C., Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017663051"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":1.4553,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84446695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"59","issue":"1","first_page":"36","last_page":"47"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9890000224113464,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9890000224113464,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6659232974052429},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.590802013874054},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.5299980044364929},{"id":"https://openalex.org/keywords/engineering-design-process","display_name":"Engineering design process","score":0.5279214382171631},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.507757306098938},{"id":"https://openalex.org/keywords/metamodeling","display_name":"Metamodeling","score":0.5027120113372803},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.48205336928367615},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.46207574009895325},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4494127035140991},{"id":"https://openalex.org/keywords/emphasis","display_name":"Emphasis (telecommunications)","score":0.42799198627471924},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.41100698709487915},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4026462435722351},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3483036756515503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22997048497200012},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19793453812599182},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15134626626968384},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.12466099858283997},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08700552582740784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659232974052429},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.590802013874054},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.5299980044364929},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.5279214382171631},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.507757306098938},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.5027120113372803},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.48205336928367615},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.46207574009895325},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4494127035140991},{"id":"https://openalex.org/C177454536","wikidata":"https://www.wikidata.org/wiki/Q578290","display_name":"Emphasis (telecommunications)","level":2,"score":0.42799198627471924},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.41100698709487915},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4026462435722351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3483036756515503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22997048497200012},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19793453812599182},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15134626626968384},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.12466099858283997},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08700552582740784},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.2015.1115674","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2015.1115674","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W107946068","https://openalex.org/W292695685","https://openalex.org/W595622908","https://openalex.org/W1633456600","https://openalex.org/W1871483139","https://openalex.org/W1977715424","https://openalex.org/W1982501435","https://openalex.org/W1993166300","https://openalex.org/W1995028739","https://openalex.org/W1996716614","https://openalex.org/W2001141328","https://openalex.org/W2004777611","https://openalex.org/W2010700815","https://openalex.org/W2017603354","https://openalex.org/W2018044188","https://openalex.org/W2044458183","https://openalex.org/W2045518152","https://openalex.org/W2053934160","https://openalex.org/W2056424034","https://openalex.org/W2056985021","https://openalex.org/W2058178494","https://openalex.org/W2076732188","https://openalex.org/W2077989178","https://openalex.org/W2080057185","https://openalex.org/W2091719480","https://openalex.org/W2094348605","https://openalex.org/W2099792813","https://openalex.org/W2109025268","https://openalex.org/W2134159265","https://openalex.org/W2144578442","https://openalex.org/W2147360967","https://openalex.org/W2150022032","https://openalex.org/W2150756205","https://openalex.org/W2170329098","https://openalex.org/W2496675188","https://openalex.org/W2573715514","https://openalex.org/W2939474406","https://openalex.org/W3022413497","https://openalex.org/W3103871524","https://openalex.org/W3145128584","https://openalex.org/W4239133561","https://openalex.org/W4245521939","https://openalex.org/W4246219036","https://openalex.org/W4249753629","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2153819599","https://openalex.org/W2255426644","https://openalex.org/W2072124641","https://openalex.org/W2018956713","https://openalex.org/W1971573522","https://openalex.org/W2081479354","https://openalex.org/W2113107605","https://openalex.org/W3204693335","https://openalex.org/W2096242844","https://openalex.org/W2169523894"],"abstract_inverted_index":{"Modeling":[0],"a":[1,4,9,39,77],"response":[2],"over":[3,46],"nonconvex":[5,47],"design":[6,26,44],"region":[7],"is":[8,50],"common":[10],"problem":[11],"in":[12,83],"diverse":[13],"areas":[14],"such":[15,28],"as":[16],"engineering":[17],"and":[18,25,32,80],"geophysics.":[19],"The":[20],"tools":[21],"available":[22,91],"to":[23,58],"model":[24],"for":[27,42,64,87],"responses":[29],"are":[30,66,90],"limited":[31],"have":[33],"received":[34],"little":[35],"attention.":[36],"We":[37],"propose":[38],"new":[40],"method":[41],"selecting":[43],"points":[45],"regions":[48],"that":[49],"based":[51],"on":[52,71],"the":[53,59],"application":[54,82],"of":[55],"multidimensional":[56],"scaling":[57],"geodesic":[60],"distance.":[61],"Optimal":[62],"designs":[63],"prediction":[65],"described,":[67],"with":[68],"special":[69],"emphasis":[70],"Gaussian":[72],"process":[73],"models,":[74],"followed":[75],"by":[76],"simulation":[78],"study":[79],"an":[81],"glaciology.":[84],"Supplementary":[85],"materials":[86],"this":[88],"article":[89],"online.":[92]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2025-10-10T00:00:00"}