{"id":"https://openalex.org/W2584424793","doi":"https://doi.org/10.1080/03610918.2017.1283701","title":"A new multivariate CUSUM chart using principal components with a revision of Crosier's chart","display_name":"A new multivariate CUSUM chart using principal components with a revision of Crosier's chart","publication_year":2017,"publication_date":"2017-01-31","ids":{"openalex":"https://openalex.org/W2584424793","doi":"https://doi.org/10.1080/03610918.2017.1283701","mag":"2584424793"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1283701","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1283701","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/A5100434185","display_name":"Jiaqi Chen","orcid":"https://orcid.org/0000-0001-6635-0829"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Chen","raw_affiliation_strings":["Department of Mathematics, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038343164","display_name":"Hualong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hualong Yang","raw_affiliation_strings":["Department of Statistics and Actuarial Science, University of Hong Kong, Hongkong"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, University of Hong Kong, Hongkong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101512985","display_name":"Jianfeng Yao","orcid":"https://orcid.org/0000-0003-3147-2775"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jianfeng Yao","raw_affiliation_strings":["Department of Statistics and Actuarial Science, University of Hong Kong, Hongkong"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, University of Hong Kong, Hongkong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101512985"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66394058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"47","issue":"2","first_page":"464","last_page":"476"},"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":0.9918000102043152,"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":0.9832000136375427,"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/cusum","display_name":"CUSUM","score":0.8214617371559143},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.8144403696060181},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7408111691474915},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6401159763336182},{"id":"https://openalex.org/keywords/control-limits","display_name":"Control limits","score":0.5842892527580261},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.581251323223114},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5235026478767395},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5083295702934265},{"id":"https://openalex.org/keywords/shewhart-individuals-control-chart","display_name":"Shewhart individuals control chart","score":0.47149890661239624},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.46671101450920105},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.43621882796287537},{"id":"https://openalex.org/keywords/x-bar-chart","display_name":"X-bar chart","score":0.43446528911590576},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4330713450908661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4208080768585205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39380568265914917},{"id":"https://openalex.org/keywords/ewma-chart","display_name":"EWMA chart","score":0.304304301738739}],"concepts":[{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.8214617371559143},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.8144403696060181},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7408111691474915},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6401159763336182},{"id":"https://openalex.org/C166623804","wikidata":"https://www.wikidata.org/wiki/Q5165860","display_name":"Control limits","level":4,"score":0.5842892527580261},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.581251323223114},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5235026478767395},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5083295702934265},{"id":"https://openalex.org/C159848633","wikidata":"https://www.wikidata.org/wiki/Q7495725","display_name":"Shewhart individuals control chart","level":5,"score":0.47149890661239624},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.46671101450920105},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.43621882796287537},{"id":"https://openalex.org/C167779127","wikidata":"https://www.wikidata.org/wiki/Q8041542","display_name":"X-bar chart","level":5,"score":0.43446528911590576},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4330713450908661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4208080768585205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39380568265914917},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.304304301738739},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610918.2017.1283701","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1283701","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"},{"id":"pmh:oai:hub.hku.hk:10722/245296","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/245296","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G111214701","display_name":null,"funder_award_id":"11501147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1973156630","https://openalex.org/W1975061413","https://openalex.org/W1986251204","https://openalex.org/W2044172242","https://openalex.org/W2044535354","https://openalex.org/W2051903196","https://openalex.org/W2091082553","https://openalex.org/W2114189440","https://openalex.org/W2791747180","https://openalex.org/W3121158818","https://openalex.org/W4242631541","https://openalex.org/W4244024201","https://openalex.org/W4248979535","https://openalex.org/W4249116379","https://openalex.org/W4256232412"],"related_works":["https://openalex.org/W2931607628","https://openalex.org/W2134988752","https://openalex.org/W2999473743","https://openalex.org/W1486990348","https://openalex.org/W1990746329","https://openalex.org/W2001940661","https://openalex.org/W2085977497","https://openalex.org/W189714052","https://openalex.org/W1544415648","https://openalex.org/W1820289348"],"abstract_inverted_index":{"In":[0,73],"this":[1],"article,":[2,104],"we":[3,105],"introduce":[4],"a":[5,20,100],"new":[6],"multivariate":[7,54,120],"cumulative":[8],"sum":[9,22],"chart,":[10],"where":[11],"the":[12,27,64,69,82,85,90,103,114],"target":[13],"mean":[14],"shift":[15],"is":[16],"assumed":[17],"to":[18,52,80],"be":[19],"weighted":[21],"of":[23,26,39,63,84,89,102,109],"principal":[24],"directions":[25],"population":[28],"covariance":[29],"matrix.":[30],"This":[31],"chart":[32,59],"provides":[33],"an":[34],"attractive":[35],"performance":[36],"in":[37],"terms":[38],"average":[40,91],"run":[41],"length":[42],"(ARL)":[43],"for":[44,118],"large-dimensional":[45],"data":[46],"and":[47,68,113],"it":[48],"also":[49],"compares":[50],"favorably":[51],"existing":[53],"charts":[55],"including":[56],"Crosier's":[57,119],"benchmark":[58],"with":[60],"updated":[61,107],"values":[62,108],"upper":[65,110],"control":[66,111],"limit":[67],"associated":[70,115],"ARL":[71,92,116],"function.":[72],"addition,":[74],"Monte":[75],"Carlo":[76],"simulations":[77],"are":[78,96],"conducted":[79],"assess":[81],"accuracy":[83],"well-known":[86],"Siegmund's":[87],"approximation":[88],"function":[93,117],"when":[94],"observations":[95],"normal":[97],"distributed.":[98],"As":[99],"byproduct":[101],"provide":[106],"limits":[112],"CUSUM":[121],"chart.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-02-10T00:00:00"}