{"id":"https://openalex.org/W49809356","doi":"https://doi.org/10.1080/00224065.1997.11979794","title":"Response Surface Methods and the Use of Noise Variables","display_name":"Response Surface Methods and the Use of Noise Variables","publication_year":1997,"publication_date":"1997-10-01","ids":{"openalex":"https://openalex.org/W49809356","doi":"https://doi.org/10.1080/00224065.1997.11979794","mag":"49809356"},"language":"en","primary_location":{"id":"doi:10.1080/00224065.1997.11979794","doi":"https://doi.org/10.1080/00224065.1997.11979794","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00224065.1997.11979794","pdf_url":null,"source":{"id":"https://openalex.org/S166831694","display_name":"Journal of Quality Technology","issn_l":"0022-4065","issn":["0022-4065","2575-6230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","fnege-3","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quality Technology","raw_type":"journal-article"},"volume":null,"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/A5113462667","display_name":"Raymond H. Myers","orcid":null,"observed_orcids":[]},"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":"Raymond H. Myers","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA 24061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA 24061","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693800","display_name":"Yoon Kim","orcid":"https://orcid.org/0009-0007-9794-7741","observed_orcids":["https://orcid.org/0009-0007-9794-7741"]},"institutions":[{"id":"https://openalex.org/I192389796","display_name":"Cal Poly Humboldt","ror":"https://ror.org/02qt0xs84","country_code":"US","type":"education","lineage":["https://openalex.org/I192389796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoon Kim","raw_affiliation_strings":["Humboldt State University, Areata, CA 95521"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Humboldt State University, Areata, CA 95521","institution_ids":["https://openalex.org/I192389796"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018256483","display_name":"Kristi L. Griffiths","orcid":"https://orcid.org/0000-0001-9173-9246","observed_orcids":["https://orcid.org/0000-0001-9173-9246"]},"institutions":[{"id":"https://openalex.org/I168537998","display_name":"Eli Lilly (United States)","ror":"https://ror.org/01qat3289","country_code":"US","type":"company","lineage":["https://openalex.org/I168537998"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristi L. Griffiths","raw_affiliation_strings":["Eli Lilly and Company, Indianapolis, IN 46285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eli Lilly and Company, Indianapolis, IN 46285","institution_ids":["https://openalex.org/I168537998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6034,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.8790794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"29","issue":"4","first_page":"429","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","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"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.0005000000237487257,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/response-surface-methodology","display_name":"response surface methodology","score":0.847000002861023},{"id":"https://openalex.org/keywords/robust-parameter-design","display_name":"parameter design","score":0.9100000262260437},{"id":"https://openalex.org/keywords/noise-factors","display_name":"noise factors","score":0.9670000076293945},{"id":"https://openalex.org/keywords/process-variation","display_name":"process variation","score":0.7099999785423279},{"id":"https://openalex.org/keywords/process-mean","display_name":"process mean","score":0.7940000295639038},{"id":"https://openalex.org/keywords/variance-modeling","display_name":"variance modeling","score":0.4909999966621399},{"id":"https://openalex.org/keywords/confidence-regions","display_name":"confidence regions","score":0.6389999985694885},{"id":"https://openalex.org/keywords/prediction-limits","display_name":"limits of prediction","score":0.7799999713897705},{"id":"https://openalex.org/keywords/quality-control","display_name":"quality control","score":0.33000001311302185}],"concepts":[{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.821796178817749},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5815252065658569},{"id":"https://openalex.org/C108311543","wikidata":"https://www.wikidata.org/wiki/Q7915756","display_name":"Variance-based sensitivity analysis","level":4,"score":0.5289366841316223},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5160667300224304},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5147349834442139},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.44627389311790466},{"id":"https://openalex.org/C152587130","wikidata":"https://www.wikidata.org/wiki/Q7092351","display_name":"One-way analysis of variance","level":3,"score":0.41695940494537354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40898197889328003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40807610750198364},{"id":"https://openalex.org/C99476002","wikidata":"https://www.wikidata.org/wiki/Q42297","display_name":"Analysis of variance","level":2,"score":0.2804785370826721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09442228078842163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00224065.1997.11979794","doi":"https://doi.org/10.1080/00224065.1997.11979794","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00224065.1997.11979794","pdf_url":null,"source":{"id":"https://openalex.org/S166831694","display_name":"Journal of Quality Technology","issn_l":"0022-4065","issn":["0022-4065","2575-6230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","fnege-3","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quality Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W13131068","https://openalex.org/W1479802788","https://openalex.org/W1493536535","https://openalex.org/W1550183740","https://openalex.org/W1973312547","https://openalex.org/W1976474629","https://openalex.org/W1977491209","https://openalex.org/W1982242768","https://openalex.org/W1997100120","https://openalex.org/W2037207111","https://openalex.org/W2044771513","https://openalex.org/W2049782507","https://openalex.org/W2051988007","https://openalex.org/W2060135116","https://openalex.org/W2063906227","https://openalex.org/W2068901010","https://openalex.org/W2072715125","https://openalex.org/W2120793724","https://openalex.org/W2466192277","https://openalex.org/W2484725964","https://openalex.org/W2789952880","https://openalex.org/W3157701939","https://openalex.org/W4237948290","https://openalex.org/W4243442908","https://openalex.org/W4245941001","https://openalex.org/W4248370127"],"related_works":["https://openalex.org/W2793813477","https://openalex.org/W2593653172","https://openalex.org/W2094400255","https://openalex.org/W123572685","https://openalex.org/W1493383252","https://openalex.org/W187174465","https://openalex.org/W128935708","https://openalex.org/W2378788152","https://openalex.org/W6990999222","https://openalex.org/W639928459"],"abstract_inverted_index":{"The":[0,112],"ideas":[1],"of":[2,35,47,57,92],"robust":[3],"parameter":[4],"design":[5],"focus":[6],"on":[7,67,85,88,126],"reducing":[8],"product":[9],"or":[10,28],"process":[11,27,59,73,94,102],"variability":[12],"that":[13,51,79],"is":[14,77,97,104],"transmitted":[15],"by":[16],"noise":[17],"variables.":[18],"These":[19],"variables":[20],"are":[21,29,52],"difficult":[22],"to":[23,54,122],"control":[24,90],"in":[25],"the":[26,45,58,68,72,86,89,98,101,108],"not":[30],"constant":[31],"across":[32],"different":[33],"levels":[34],"consumer":[36],"usage.":[37],"In":[38],"this":[39],"paper":[40],"we":[41],"develop":[42],"and":[43,61,114,130],"illustrate":[44],"use":[46],"response":[48,69,116,129],"surface":[49,70],"methods":[50],"extended":[53],"cover":[55],"modeling":[56],"mean":[60,113],"variance.Considerable":[62],"attention":[63],"has":[64],"been":[65],"placed":[66],"for":[71,81],"variance.":[74,95,111],"A":[75],"methodology":[76],"given":[78],"allows":[80],"a":[82,127],"confidence":[83],"region":[84],"location":[87,99],"factors":[91],"minimum":[93],"This":[96],"where":[100],"variance":[103,115],"no":[105],"larger":[106],"than":[107],"experimental":[109],"error":[110],"surfaces":[117],"can":[118],"also":[119],"be":[120],"combined":[121],"produce":[123],"prediction":[124],"limits":[125],"future":[128],"one-sided":[131],"tolerance":[132],"intervals.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}