{"id":"https://openalex.org/W1983570220","doi":"https://doi.org/10.1198/004017006000000291","title":"A Multivariate Change-Point Model for Statistical Process Control","display_name":"A Multivariate Change-Point Model for Statistical Process Control","publication_year":2006,"publication_date":"2006-11-01","ids":{"openalex":"https://openalex.org/W1983570220","doi":"https://doi.org/10.1198/004017006000000291","mag":"1983570220"},"language":"en","primary_location":{"id":"doi:10.1198/004017006000000291","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017006000000291","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/A5045131468","display_name":"K. D. Zamba","orcid":null},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. D Zamba","raw_affiliation_strings":["College of Public Health, Department of Biostatistics, The University of Iowa, Iowa City, IA 52242","University of Iowa, "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Public Health, Department of Biostatistics, The University of Iowa, Iowa City, IA 52242","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"University of Iowa, ","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":null,"display_name":"Douglas M Hawkins","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas M Hawkins","raw_affiliation_strings":["School of Statistics, University of Minnesota, Minneapolis, MN 55455","Statistics (Twin Cities)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, University of Minnesota, Minneapolis, MN 55455","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Statistics (Twin Cities)","institution_ids":["https://openalex.org/I4210101327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8309,"has_fulltext":false,"cited_by_count":133,"citation_normalized_percentile":{"value":0.95518241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"48","issue":"4","first_page":"539","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998000264167786,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998000264167786,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9836000204086304,"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":0.9783999919891357,"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/cusum","display_name":"CUSUM","score":0.8656966686248779},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7180492877960205},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.6384514570236206},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.6376186609268188},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5911773443222046},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.465501606464386},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4648629128932953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46019577980041504},{"id":"https://openalex.org/keywords/control-limits","display_name":"Control limits","score":0.44863927364349365},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.4273397922515869},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4182387888431549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.378456175327301},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35149192810058594}],"concepts":[{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.8656966686248779},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7180492877960205},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.6384514570236206},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.6376186609268188},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5911773443222046},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.465501606464386},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4648629128932953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46019577980041504},{"id":"https://openalex.org/C166623804","wikidata":"https://www.wikidata.org/wiki/Q5165860","display_name":"Control limits","level":4,"score":0.44863927364349365},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.4273397922515869},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4182387888431549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.378456175327301},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35149192810058594},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1198/004017006000000291","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017006000000291","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":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W153763881","https://openalex.org/W315135952","https://openalex.org/W1605568201","https://openalex.org/W1607810777","https://openalex.org/W1766049541","https://openalex.org/W1967665616","https://openalex.org/W1973156630","https://openalex.org/W1975061413","https://openalex.org/W1994449045","https://openalex.org/W1996157861","https://openalex.org/W2008907401","https://openalex.org/W2027251375","https://openalex.org/W2030483363","https://openalex.org/W2057459457","https://openalex.org/W2057797785","https://openalex.org/W2058391831","https://openalex.org/W2059529543","https://openalex.org/W2075528311","https://openalex.org/W2086914760","https://openalex.org/W2095649426","https://openalex.org/W2107146446","https://openalex.org/W2142841946","https://openalex.org/W2150714037","https://openalex.org/W2257126868","https://openalex.org/W2322250920","https://openalex.org/W2791747180","https://openalex.org/W4250486262"],"related_works":["https://openalex.org/W2946299465","https://openalex.org/W2001940661","https://openalex.org/W2931607628","https://openalex.org/W2314533469","https://openalex.org/W2738521322","https://openalex.org/W2123690118","https://openalex.org/W161582973","https://openalex.org/W4210663496","https://openalex.org/W2162546485","https://openalex.org/W2180288713"],"abstract_inverted_index":{"Multivariate":[0],"statistical":[1],"process":[2,13,21,142],"control":[3,35,59,186],"(SPC)":[4],"carries":[5],"out":[6],"ongoing":[7],"checks":[8,18],"to":[9,56,95,104,127,147,185],"ensure":[10],"that":[11,42,65,89,109,179],"a":[12,81,134,154,168,194],"is":[14,64,86,161,183],"in":[15,157,170],"control.":[16],"These":[17,37],"on":[19],"the":[20,43,58,100,111,117,141,158,187,191],"are":[22,47,69,77,103],"traditionally":[23],"done":[24],"by":[25],"T2,":[26],"multivariate":[27,30],"cusum,":[28],"and":[29,50,122],"exponentially":[31],"weighted":[32],"moving":[33],"average":[34],"charts.":[36],"traditional":[38,148],"SPC":[39],"charts":[40],"assume":[41],"in-control":[44],"true":[45,54,66],"parameters":[46],"known":[48,73],"exactly":[49],"use":[51],"these":[52],"assumed":[53],"values":[55,68],"set":[57],"limits.":[60],"The":[61],"reality,":[62],"however,":[63],"parameter":[67,101],"seldom":[70],"if":[71,99],"ever":[72],"exactly;":[74],"rather,":[75],"they":[76],"commonly":[78],"estimated":[79],"from":[80,116],"Phase":[82,91,196],"I":[83,92,197],"sample.":[84,198],"It":[85],"increasingly":[87],"recognized":[88],"this":[90,180],"study":[93],"needs":[94],"involve":[96],"large":[97,121,195],"samples":[98],"estimates":[102],"provide":[105],"run":[106,188],"behavior":[107,189],"matching":[108],"of":[110,120,136,172,193],"known-parameter":[112],"situation.":[113],"But,":[114],"apart":[115],"general":[118],"undesirability":[119],"thus":[123],"expensive":[124],"studies":[125],"preliminary":[126],"actual":[128],"charting,":[129],"some":[130],"industrial":[131],"settings":[132],"have":[133,177],"paucity":[135],"relevant":[137],"data":[138],"for":[139,153,167],"estimating":[140],"parameters.":[143],"An":[144],"attractive":[145],"alternative":[146],"charting":[149],"methods":[150],"when":[151],"monitoring":[152],"step":[155],"change":[156,169],"mean":[159,171],"vector":[160],"an":[162],"unknown-parameter":[163],"likelihood":[164],"ratio":[165],"test":[166],"p-variate":[173],"normal":[174],"data.":[175],"We":[176],"found":[178],"approach":[181],"description":[182],"able":[184],"despite":[190],"lack":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":7}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
