{"id":"https://openalex.org/W2060743924","doi":"https://doi.org/10.1198/004017005000000076","title":"Ridge Analysis With Noise Variables","display_name":"Ridge Analysis With Noise Variables","publication_year":2005,"publication_date":"2005-07-18","ids":{"openalex":"https://openalex.org/W2060743924","doi":"https://doi.org/10.1198/004017005000000076","mag":"2060743924"},"language":"en","primary_location":{"id":"doi:10.1198/004017005000000076","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017005000000076","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/A5105123833","display_name":"John J. Peterson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114143","display_name":"GlaxoSmithKline (United States)","ror":"https://ror.org/025vn3989","country_code":"US","type":"company","lineage":["https://openalex.org/I188950975","https://openalex.org/I4210114143"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John J Peterson","raw_affiliation_strings":["GlaxoSmithKline Pharmaceuticals, King of Prussia, PA 19406"],"affiliations":[{"raw_affiliation_string":"GlaxoSmithKline Pharmaceuticals, King of Prussia, PA 19406","institution_ids":["https://openalex.org/I4210114143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029190719","display_name":"Andrew M. Kuhn","orcid":null},"institutions":[{"id":"https://openalex.org/I146461966","display_name":"Becton Dickinson (United States)","ror":"https://ror.org/048vrgr14","country_code":"US","type":"company","lineage":["https://openalex.org/I146461966"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew M Kuhn","raw_affiliation_strings":["Becton Dickinson, Sparks, MD 21152"],"affiliations":[{"raw_affiliation_string":"Becton Dickinson, Sparks, MD 21152","institution_ids":["https://openalex.org/I146461966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5105123833"],"corresponding_institution_ids":["https://openalex.org/I4210114143"],"apc_list":null,"apc_paid":null,"fwci":0.435,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68622834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"47","issue":"3","first_page":"274","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9778000116348267,"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":0.9778000116348267,"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":0.9700999855995178,"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/T11236","display_name":"Control Systems and Identification","score":0.963699996471405,"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/ridge","display_name":"Ridge","score":0.7075544595718384},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5297912955284119},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.47594523429870605},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3876889944076538},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3773398995399475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.28688162565231323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12848302721977234},{"id":"https://openalex.org/keywords/paleontology","display_name":"Paleontology","score":0.10911977291107178}],"concepts":[{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.7075544595718384},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5297912955284119},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.47594523429870605},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3876889944076538},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3773398995399475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28688162565231323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12848302721977234},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.10911977291107178},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1198/004017005000000076","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017005000000076","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W104866352","https://openalex.org/W128935708","https://openalex.org/W188607653","https://openalex.org/W620245629","https://openalex.org/W1043117692","https://openalex.org/W1479802788","https://openalex.org/W1493037407","https://openalex.org/W1590607872","https://openalex.org/W1968352069","https://openalex.org/W1977491209","https://openalex.org/W1979627986","https://openalex.org/W1989153002","https://openalex.org/W1997764874","https://openalex.org/W1998682573","https://openalex.org/W2000836282","https://openalex.org/W2022687228","https://openalex.org/W2026585487","https://openalex.org/W2027758971","https://openalex.org/W2032502251","https://openalex.org/W2038614136","https://openalex.org/W2049782507","https://openalex.org/W2084607915","https://openalex.org/W2089641569","https://openalex.org/W2090126764","https://openalex.org/W2091727122","https://openalex.org/W2099114511","https://openalex.org/W2315306166","https://openalex.org/W2519881875","https://openalex.org/W2790938301","https://openalex.org/W2899742091","https://openalex.org/W3000651840","https://openalex.org/W4229795060","https://openalex.org/W4245298421","https://openalex.org/W4247210775","https://openalex.org/W4247811359","https://openalex.org/W4247905175","https://openalex.org/W4249242153","https://openalex.org/W4253994625","https://openalex.org/W4255471496","https://openalex.org/W4255561008"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2042127053","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793"],"abstract_inverted_index":{"Ridge":[0],"analysis":[1,36,52],"is":[2,165,169,183],"a":[3,14,34,39,81,109,120,125,154,184],"graphical":[4],"and":[5],"inferential":[6],"method":[7,53,176],"for":[8,37,163],"exploring":[9],"optimum":[10],"factor":[11,72,139],"levels":[12,133],"of":[13,23,45,54,59,91,134,138,156,181],"response":[15,40,96],"surface":[16,41],"at":[17,85],"fixed":[18],"distances":[19],"from":[20,98],"the":[21,24,43,50,60,76,86,94,99,114,174],"center":[22],"experimental":[25],"region.":[26],"This":[27,65,123],"article":[28],"proposes":[29],"an":[30,68,105],"approach":[31,66,158],"to":[32,56,70,107,128],"doing":[33],"ridge":[35,51],"optimizing":[38],"in":[42,130,147],"presence":[44],"noise":[46,63],"variables.":[47,64],"We":[48,172],"extend":[49],"Peterson":[55],"include":[57],"some":[58],"factors":[61],"as":[62],"allows":[67,104],"investigator":[69,106],"explore":[71],"combinations":[73],"that":[74,159],"lower":[75],"mean":[77,95,116],"squared":[78,117],"error":[79,118],"about":[80,113,119],"target":[82,100,121],"value,":[83],"while":[84],"same":[87],"time":[88],"keeping":[89],"track":[90],"how":[92],"much":[93],"differs":[97],"value.":[101,122],"It":[102],"also":[103],"compute":[108],"simultaneous":[110],"confidence":[111],"band":[112,127],"root":[115],"provides":[124],"guidance":[126],"aid":[129],"determining":[131],"optimal":[132],"operation.":[135],"A":[136],"variety":[137],"constraints":[140],"can":[141,160],"be":[142,161],"imposed,":[143],"including":[144],"those":[145],"found":[146],"mixture":[148,185],"experiments.":[149,171],"In":[150],"addition,":[151],"we":[152],"propose":[153],"modification":[155],"our":[157],"used":[162],"\u201clarger":[164],"better\u201d":[166,170],"or":[167],"\u201csmaller":[168],"illustrate":[173],"proposed":[175],"using":[177],"two":[178],"examples,":[179],"one":[180],"which":[182],"experiment.":[186]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}