{"id":"https://openalex.org/W4406039425","doi":"https://doi.org/10.1080/03610918.2024.2447452","title":"Copula-based multivariate control charts for monitoring multiple dependent Weibull processes","display_name":"Copula-based multivariate control charts for monitoring multiple dependent Weibull processes","publication_year":2025,"publication_date":"2025-01-02","ids":{"openalex":"https://openalex.org/W4406039425","doi":"https://doi.org/10.1080/03610918.2024.2447452"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2024.2447452","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2447452","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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":"Communications in Statistics - Simulation and Computation","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/A5033032533","display_name":"Peile Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peile Chen","raw_affiliation_strings":["School of Mathematics and Statistics, Liaoning University","School of Mathematics and Statistics, Liaoning University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Liaoning University","institution_ids":["https://openalex.org/I118803816"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Liaoning University, Shenyang, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054120282","display_name":"Jiujun Zhang","orcid":"https://orcid.org/0009-0005-0860-3513"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiujun Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Liaoning University","School of Mathematics and Statistics, Liaoning University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Liaoning University","institution_ids":["https://openalex.org/I118803816"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Liaoning University, Shenyang, China","institution_ids":["https://openalex.org/I118803816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054120282"],"corresponding_institution_ids":["https://openalex.org/I118803816"],"apc_list":null,"apc_paid":null,"fwci":2.4242,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89178867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"55","issue":"5","first_page":"1544","last_page":"1565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9904999732971191,"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"}},{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.7965038418769836},{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.7733919024467468},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.7636407613754272},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7403846383094788},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5805561542510986},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.5592512488365173},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.5559800863265991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4020075798034668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.333257794380188},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33224672079086304},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.08948904275894165}],"concepts":[{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.7965038418769836},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.7733919024467468},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7636407613754272},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7403846383094788},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5805561542510986},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.5592512488365173},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.5559800863265991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4020075798034668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.333257794380188},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33224672079086304},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.08948904275894165},{"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:10.1080/03610918.2024.2447452","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2447452","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.6600000262260437,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W603704274","https://openalex.org/W1966296137","https://openalex.org/W1975061413","https://openalex.org/W1978290902","https://openalex.org/W1994449045","https://openalex.org/W2016534288","https://openalex.org/W2016857895","https://openalex.org/W2040425596","https://openalex.org/W2051980198","https://openalex.org/W2089592356","https://openalex.org/W2096079397","https://openalex.org/W2130820129","https://openalex.org/W2155991627","https://openalex.org/W2195125035","https://openalex.org/W2257126868","https://openalex.org/W2501323269","https://openalex.org/W2522381225","https://openalex.org/W2586732832","https://openalex.org/W2901478408","https://openalex.org/W2907233437","https://openalex.org/W2909138707","https://openalex.org/W2963913959","https://openalex.org/W3041996091","https://openalex.org/W3043849227","https://openalex.org/W3048414797","https://openalex.org/W3088599718","https://openalex.org/W3126294501","https://openalex.org/W3158113069","https://openalex.org/W4229456459","https://openalex.org/W4249107966","https://openalex.org/W4283725032","https://openalex.org/W4289778671","https://openalex.org/W4385075445","https://openalex.org/W4399721480","https://openalex.org/W6678119076"],"related_works":["https://openalex.org/W4394590985","https://openalex.org/W2348840575","https://openalex.org/W2030498341","https://openalex.org/W3122841410","https://openalex.org/W2990837948","https://openalex.org/W2046205453","https://openalex.org/W3127236696","https://openalex.org/W2202466617","https://openalex.org/W2080551413","https://openalex.org/W2770017172"],"abstract_inverted_index":{"Monitoring":[0,17],"multivariate":[1,51,58],"time":[2,36,100],"between":[3,37],"events":[4,38],"(MTBE)":[5],"data":[6,40],"is":[7,23,90],"critical":[8],"in":[9,26],"areas":[10],"such":[11],"as":[12],"manufacturing":[13],"and":[14,57,80,107],"service":[15],"operations.":[16],"of":[18,69,86,115],"multiple":[19,70],"dependent":[20,71],"Weibull":[21,35,72],"processes":[22,73],"often":[24],"required":[25],"high":[27],"quality":[28],"processes,":[29],"yet":[30],"existing":[31],"methods":[32],"for":[33,64,105],"monitoring":[34,65],"(TBE)":[39],"have":[41],"been":[42],"developed":[43],"based":[44,96],"on":[45,97],"univariate":[46],"processes.":[47],"This":[48],"paper":[49],"develops":[50],"exponentially":[52],"weighted":[53],"moving":[54],"average":[55,99],"(MEWMA)":[56],"cumulative":[59],"sum":[60],"(MCUSUM)":[61],"control":[62],"charts":[63,89],"the":[66,75,87,98,113,116],"mean":[67],"vector":[68],"from":[74],"Normal,":[76],"Clayton,":[77],"Frank,":[78],"Gumbel":[79],"Joe":[81],"copula":[82],"models.":[83],"The":[84],"performance":[85],"two":[88,118],"evaluated":[91],"using":[92],"Monte":[93],"Carlo":[94],"simulation":[95],"to":[101],"signal":[102],"(ATS)":[103],"metric":[104],"in-control":[106],"out-of-control":[108],"states.":[109],"To":[110],"further":[111],"illustrate":[112],"use":[114],"chart,":[117],"applications":[119],"are":[120],"illustrated.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
