{"id":"https://openalex.org/W4281663686","doi":"https://doi.org/10.1080/03610918.2022.2083165","title":"Pattern detection in phase I monitoring using runs-based tests","display_name":"Pattern detection in phase I monitoring using runs-based tests","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4281663686","doi":"https://doi.org/10.1080/03610918.2022.2083165"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2083165","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2083165","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/A5071011962","display_name":"Sotiris Bersimis","orcid":"https://orcid.org/0000-0002-7448-1172"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sotiris Bersimis","raw_affiliation_strings":["Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece"],"raw_orcid":"https://orcid.org/0000-0002-7448-1172","affiliations":[{"raw_affiliation_string":"Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061346888","display_name":"S. Chakraborti","orcid":"https://orcid.org/0000-0002-7230-3399"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subhabrata Chakraborti","raw_affiliation_strings":["Department of Information Systems, Statistics and Management Science, University of Alabama, Tuscaloosa, Alabama, USA"],"raw_orcid":"https://orcid.org/0000-0002-7230-3399","affiliations":[{"raw_affiliation_string":"Department of Information Systems, Statistics and Management Science, University of Alabama, Tuscaloosa, Alabama, USA","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019770365","display_name":"Athanasios C. Rakitzis","orcid":"https://orcid.org/0000-0002-3054-4004"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Athanasios C. Rakitzis","raw_affiliation_strings":["Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece"],"raw_orcid":"https://orcid.org/0000-0002-3054-4004","affiliations":[{"raw_affiliation_string":"Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019770365"],"corresponding_institution_ids":["https://openalex.org/I154757721"],"apc_list":null,"apc_paid":null,"fwci":0.3504,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64737768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"53","issue":"6","first_page":"2675","last_page":"2691"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9909999966621399,"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/T11423","display_name":"Pesticide Residue Analysis and Safety","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.8996084928512573},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.716341495513916},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6758983135223389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6419475078582764},{"id":"https://openalex.org/keywords/shewhart-individuals-control-chart","display_name":"Shewhart individuals control chart","score":0.6199522614479065},{"id":"https://openalex.org/keywords/ewma-chart","display_name":"EWMA chart","score":0.5732554793357849},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5610910058021545},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.529757559299469},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.513211727142334},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.505305826663971},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.495129257440567},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4707924425601959},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.41279852390289307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33905208110809326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30484625697135925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28155219554901123}],"concepts":[{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.8996084928512573},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.716341495513916},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6758983135223389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419475078582764},{"id":"https://openalex.org/C159848633","wikidata":"https://www.wikidata.org/wiki/Q7495725","display_name":"Shewhart individuals control chart","level":5,"score":0.6199522614479065},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.5732554793357849},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5610910058021545},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.529757559299469},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.513211727142334},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.505305826663971},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.495129257440567},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4707924425601959},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.41279852390289307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33905208110809326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30484625697135925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28155219554901123},{"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:10.1080/03610918.2022.2083165","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2083165","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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W27508330","https://openalex.org/W124077770","https://openalex.org/W148062929","https://openalex.org/W1533768059","https://openalex.org/W1543138833","https://openalex.org/W1973246843","https://openalex.org/W1984741816","https://openalex.org/W2007102221","https://openalex.org/W2010212762","https://openalex.org/W2021866286","https://openalex.org/W2051745706","https://openalex.org/W2054578025","https://openalex.org/W2055238979","https://openalex.org/W2066224491","https://openalex.org/W2068530489","https://openalex.org/W2080680177","https://openalex.org/W2088209664","https://openalex.org/W2104651461","https://openalex.org/W2107788981","https://openalex.org/W2240101648","https://openalex.org/W2479613957","https://openalex.org/W2519280276","https://openalex.org/W2791282478","https://openalex.org/W2997394714","https://openalex.org/W3106761330","https://openalex.org/W4285579170","https://openalex.org/W4302420972","https://openalex.org/W6992022558"],"related_works":["https://openalex.org/W2213954818","https://openalex.org/W3200938883","https://openalex.org/W3201688424","https://openalex.org/W4214540154","https://openalex.org/W2077448518","https://openalex.org/W2037626511","https://openalex.org/W1544415648","https://openalex.org/W1479927480","https://openalex.org/W2931607628","https://openalex.org/W4381431108"],"abstract_inverted_index":{"Control":[0],"charts":[1],"are":[2,181,214],"useful":[3,108],"to":[4,23,155],"monitor":[5],"if":[6,18],"a":[7,11,39,57,68,103,134,150,161,164],"process":[8,47,84],"is":[9,48,188,208],"in":[10,102,125,149,153,170,190],"state":[12],"of":[13,26,35,92,98,116,143,160,185,192],"statistical":[14,158],"control":[15,40,81,104],"(in-control)":[16],"or":[17,72,75],"changes":[19],"have":[20],"occurred":[21],"due":[22],"the":[24,33,53,61,65,80,83,90,96,99,111,141,157,186],"presence":[25,113],"any":[27],"assignable":[28,117],"causes.":[29],"To":[30],"this":[31,130],"end,":[32],"pattern":[34,101,162],"points":[36,55,66,77],"displayed":[37,100],"on":[38,140,163,204],"chart":[41,105,169],"plays":[42],"an":[43,126,171],"important":[44],"role.":[45],"A":[46],"declared":[49,87],"as":[50],"in-control":[51],"when":[52,64],"plotted":[54],"display":[56,67],"random":[58],"pattern.":[59],"On":[60],"other":[62],"hand,":[63],"nonrandom":[69,176],"pattern,":[70],"with":[71,95,124,178],"without":[73],"one":[74],"more":[76],"falling":[78],"beyond":[79],"limits,":[82],"may":[85],"be":[86,122,147],"out-of-control.":[88],"Thus,":[89],"constellation":[91],"points,":[93],"along":[94],"type":[97],"can":[106,120,146],"provide":[107],"clues":[109],"about":[110],"possible":[112],"and":[114,197,211],"diagnosis":[115],"causes,":[118],"which":[119],"then":[121],"dealt":[123],"appropriate":[127],"manner.":[128],"In":[129],"work,":[131],"we":[132],"propose":[133],"methodology":[135],"using":[136],"randomness":[137],"tests":[138,180,187],"based":[139,203],"theory":[142],"runs":[144],"that":[145],"applied":[148],"supplementary":[151],"manner":[152],"order":[154],"assess":[156],"significance":[159],"Phase":[165],"I":[166],"Shewhart":[167],"X\u00af":[168],"objective":[172],"way.":[173],"Five":[174],"common":[175],"patterns":[177],"corresponding":[179],"considered.":[182],"The":[183],"performance":[184],"evaluated":[189],"terms":[191],"their":[193],"false":[194],"alarm":[195],"rate":[196],"power,":[198],"via":[199],"simulation.":[200],"An":[201],"illustration":[202],"some":[205],"real":[206],"data":[207],"provided.":[209],"Conclusions":[210],"practical":[212],"recommendations":[213],"offered.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}