{"id":"https://openalex.org/W4385764516","doi":"https://doi.org/10.1002/qre.3427","title":"Monitoring autocorrelated multivariate multiple linear profiles","display_name":"Monitoring autocorrelated multivariate multiple linear profiles","publication_year":2023,"publication_date":"2023-08-11","ids":{"openalex":"https://openalex.org/W4385764516","doi":"https://doi.org/10.1002/qre.3427"},"language":"en","primary_location":{"id":"doi:10.1002/qre.3427","doi":"https://doi.org/10.1002/qre.3427","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.3427","pdf_url":null,"source":{"id":"https://openalex.org/S165633816","display_name":"Quality and Reliability Engineering International","issn_l":"0748-8017","issn":["0748-8017","1099-1638"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quality and Reliability Engineering International","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/A5071712003","display_name":"Yi\u2010Hua Tina Wang","orcid":"https://orcid.org/0000-0001-5256-1801","observed_orcids":["https://orcid.org/0000-0001-5256-1801"]},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yi\u2010Hua Tina Wang","raw_affiliation_strings":["Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Douliu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-5256-1801","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Douliu, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101233220","display_name":"Shu\u2010Han Zhan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shu\u2010Han Zhan","raw_affiliation_strings":["Department of Statistics, Tamkang University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Tamkang University, Taipei, Taiwan","institution_ids":["https://openalex.org/I107470533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071712003"],"corresponding_institution_ids":["https://openalex.org/I75357094"],"apc_list":{"value":4330,"currency":"USD","value_usd":4330},"apc_paid":null,"fwci":1.2973,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81746439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"40","issue":"1","first_page":"619","last_page":"643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9994999766349792,"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":0.9994999766349792,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.0005000000237487257,"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"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.0,"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/profile-monitoring","display_name":"profile monitoring","score":0.9649999737739563},{"id":"https://openalex.org/keywords/autocorrelated-data","display_name":"autocorrelated data","score":0.753000020980835},{"id":"https://openalex.org/keywords/ewma-control-chart","display_name":"EWMA control chart","score":0.8600000143051147},{"id":"https://openalex.org/keywords/covariance-matrix-monitoring","display_name":"covariance matrix monitoring","score":0.8019999861717224},{"id":"https://openalex.org/keywords/average-run-length","display_name":"average run length","score":0.8450000286102295},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"statistical process control","score":0.6019999980926514}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7143303751945496},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6248619556427002},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6080402731895447},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5960575342178345},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.53288733959198},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5212393403053284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5133432745933533},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.49238359928131104},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.4456346035003662},{"id":"https://openalex.org/C203233044","wikidata":"https://www.wikidata.org/wiki/Q5264358","display_name":"Design matrix","level":3,"score":0.4419441819190979},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4345465898513794},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.42386484146118164},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.413438081741333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3998102843761444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38536494970321655},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3140653371810913},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/qre.3427","doi":"https://doi.org/10.1002/qre.3427","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.3427","pdf_url":null,"source":{"id":"https://openalex.org/S165633816","display_name":"Quality and Reliability Engineering International","issn_l":"0748-8017","issn":["0748-8017","1099-1638"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quality and Reliability Engineering International","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1511738908","https://openalex.org/W1580673759","https://openalex.org/W1603549427","https://openalex.org/W1890646802","https://openalex.org/W1973897312","https://openalex.org/W1981512258","https://openalex.org/W1997774563","https://openalex.org/W2003826755","https://openalex.org/W2005495936","https://openalex.org/W2009568175","https://openalex.org/W2015249241","https://openalex.org/W2021129628","https://openalex.org/W2025849042","https://openalex.org/W2030798288","https://openalex.org/W2042630204","https://openalex.org/W2050439357","https://openalex.org/W2052655312","https://openalex.org/W2097817381","https://openalex.org/W2139356790","https://openalex.org/W2146849877","https://openalex.org/W2155736497","https://openalex.org/W2156556760","https://openalex.org/W2338615147","https://openalex.org/W2346493552","https://openalex.org/W2473219317","https://openalex.org/W2744812993","https://openalex.org/W2789502624","https://openalex.org/W2804594788","https://openalex.org/W2833624480","https://openalex.org/W2892195300","https://openalex.org/W2895139424","https://openalex.org/W2903989496","https://openalex.org/W2930698411","https://openalex.org/W2951144676","https://openalex.org/W2960723373","https://openalex.org/W2977620188","https://openalex.org/W2979944552","https://openalex.org/W3038191780","https://openalex.org/W3097378740","https://openalex.org/W3113012051","https://openalex.org/W3158608337","https://openalex.org/W4205857759"],"related_works":["https://openalex.org/W2903989496","https://openalex.org/W2135039135","https://openalex.org/W4282920496","https://openalex.org/W4205857759","https://openalex.org/W3113012051","https://openalex.org/W2991984683","https://openalex.org/W2511222336","https://openalex.org/W4408474352","https://openalex.org/W2931187466","https://openalex.org/W2520016131"],"abstract_inverted_index":{"Abstract":[0],"If":[1],"the":[2,33,95,99,103,119,139,142],"quality":[3,18,41],"of":[4,16,35,72,102,118,141],"a":[5,11,14,22,36,56],"process":[6],"can":[7,51],"be":[8,53],"represented":[9],"by":[10,55],"functional":[12],"relationship,":[13],"collection":[15],"this":[17,70,82],"data":[19,42,136],"is":[20,29],"called":[21],"profile.":[23],"In":[24,38],"monitoring":[25,28,94],"schemes,":[26],"profile":[27],"used":[30],"to":[31,137],"evaluate":[32],"stability":[34],"relationship.":[37],"some":[39],"applications,":[40],"collected":[43],"from":[44],"continuous":[45],"processes":[46],"have":[47],"time":[48],"correlations":[49,80],"and":[50,64,98,123],"thus":[52],"characterized":[54],"linear":[57,75],"relationship":[58],"between":[59],"more":[60],"than":[61],"one":[62],"response":[63],"explanatory":[65],"variables.":[66],"Therefore,":[67],"we":[68,130],"investigate":[69],"type":[71],"multivariate":[73],"multiple":[74],"regression":[76,96],"model":[77],"with":[78],"between\u2010profile":[79],"in":[81,116],"study.":[83],"We":[84],"propose":[85],"two":[86],"exponentially":[87],"weighted":[88],"moving":[89],"average":[90,120],"control":[91],"charts":[92],"for":[93],"parameters":[97],"covariance":[100],"matrix":[101],"model.":[104],"Our":[105],"simulation":[106],"results":[107],"reveal":[108],"that":[109],"our":[110],"proposed":[111,143],"scheme":[112],"has":[113],"satisfactory":[114],"performance":[115],"terms":[117],"run":[121,126],"length":[122,127],"standard":[124],"deviation":[125],"criteria.":[128],"Finally,":[129],"present":[131],"an":[132],"example":[133],"using":[134],"real":[135],"demonstrate":[138],"applicability":[140],"scheme.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-08-12T00:00:00"}