{"id":"https://openalex.org/W4388997933","doi":"https://doi.org/10.1080/03610918.2023.2286923","title":"Weighted adaptive CUSUM mean chart with variable sample size and sampling interval","display_name":"Weighted adaptive CUSUM mean chart with variable sample size and sampling interval","publication_year":2023,"publication_date":"2023-11-25","ids":{"openalex":"https://openalex.org/W4388997933","doi":"https://doi.org/10.1080/03610918.2023.2286923"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2023.2286923","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2286923","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/A5045890192","display_name":"Abdul Haq","orcid":"https://orcid.org/0000-0002-4467-9719"},"institutions":[{"id":"https://openalex.org/I12469534","display_name":"Quaid-i-Azam University","ror":"https://ror.org/04s9hft57","country_code":"PK","type":"education","lineage":["https://openalex.org/I12469534"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Abdul Haq","raw_affiliation_strings":["Department of Statistics, Quaid-i-Azam University","Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Quaid-i-Azam University","institution_ids":["https://openalex.org/I12469534"]},{"raw_affiliation_string":"Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I12469534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040725427","display_name":"Michael B. C. Khoo","orcid":"https://orcid.org/0000-0002-3245-1127"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Michael B. C. Khoo","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia","School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045890192"],"corresponding_institution_ids":["https://openalex.org/I12469534"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21510953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":"5","first_page":"1481","last_page":"1499"},"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/T13690","display_name":"Quality and Safety in Healthcare","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9812999963760376,"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":0.8593353033065796},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.7083861827850342},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.665408194065094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6620540618896484},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5903334617614746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5045543909072876},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4650856852531433},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46076229214668274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4007464051246643}],"concepts":[{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.8593353033065796},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.7083861827850342},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.665408194065094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6620540618896484},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5903334617614746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5045543909072876},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4650856852531433},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46076229214668274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4007464051246643},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2023.2286923","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2286923","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":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W3586951","https://openalex.org/W55601486","https://openalex.org/W85352813","https://openalex.org/W122395086","https://openalex.org/W173161442","https://openalex.org/W206554253","https://openalex.org/W1483369148","https://openalex.org/W1551863120","https://openalex.org/W1987105993","https://openalex.org/W2004174219","https://openalex.org/W2010351697","https://openalex.org/W2031798796","https://openalex.org/W2034745807","https://openalex.org/W2038995313","https://openalex.org/W2044773990","https://openalex.org/W2046160467","https://openalex.org/W2048783496","https://openalex.org/W2051903196","https://openalex.org/W2064113701","https://openalex.org/W2092923360","https://openalex.org/W2130827941","https://openalex.org/W2177932553","https://openalex.org/W2613099424","https://openalex.org/W2788217556","https://openalex.org/W2799727980","https://openalex.org/W2901468599","https://openalex.org/W2902468831","https://openalex.org/W2904379289","https://openalex.org/W2948156074","https://openalex.org/W2964531511","https://openalex.org/W3045093675","https://openalex.org/W3084679956","https://openalex.org/W3186884440","https://openalex.org/W3214435158","https://openalex.org/W4220788195","https://openalex.org/W4229980202","https://openalex.org/W4231456352","https://openalex.org/W4302420972","https://openalex.org/W6992022558"],"related_works":["https://openalex.org/W2056974159","https://openalex.org/W2753583628","https://openalex.org/W2138199368","https://openalex.org/W1788036421","https://openalex.org/W4384561785","https://openalex.org/W1972553508","https://openalex.org/W145878048","https://openalex.org/W4221009672","https://openalex.org/W2129938040","https://openalex.org/W1973833593"],"abstract_inverted_index":{"AbstractThe":[0],"classical":[1,71],"CUSUM":[2,182],"(C)":[3],"chart":[4,58,84],"is":[5,23,25,32,42],"designed":[6],"by":[7,211],"assuming":[8],"that":[9,195],"the":[10,13,16,38,70,86,97,121,125,129,138,150,157,160,188,202,212],"size":[11,41,89,104,177],"of":[12,124,159,201,207],"shift":[14,40],"in":[15,18,35,65,120,149],"process,":[17],"which":[19,95],"a":[20,27,51,66,79],"quick":[21],"detection":[22],"important,":[24],"known":[26,44],"priori.":[28],"However,":[29],"this":[30,75],"assumption":[31],"often":[33],"violated":[34],"practice,":[36],"as":[37],"actual":[39],"rarely":[43],"even":[45],"though":[46],"it":[47],"may":[48],"vary":[49],"within":[50],"certain":[52,67],"interval.":[53],"The":[54,114],"adaptive":[55,181],"C":[56,72],"(AC)":[57],"gives":[59],"better":[60],"protection":[61],"against":[62],"process":[63,151,174],"shifts":[64,148],"interval":[68,92,109],"than":[69],"chart.":[73],"In":[74],"paper,":[76],"we":[77],"propose":[78],"new":[80],"weighted":[81],"AC":[82],"(WAC)":[83],"with":[85],"variable":[87,102,107],"sample":[88,103,176],"and":[90,106,133,141,162,178],"sampling":[91,99,108,179],"(VSSI)":[93],"feature,":[94],"encompasses":[96],"fixed":[98],"rate":[100],"(FSR),":[101],"(VSS)":[105],"(VSI)":[110],"based":[111],"WAC":[112,143,164],"charts.":[113],"Monte":[115],"Carlo":[116,171],"simulations":[117],"are":[118,185],"adopted":[119],"run-length":[122],"computations":[123],"considered":[126],"charts,":[127],"where":[128],"newly":[130],"developed":[131],"(VSS":[132],"VSSI":[134],"based)":[135],"charts":[136,144],"outperform":[137],"existing":[139,161],"(FSR":[140],"VSI)":[142],"when":[145],"detecting":[146],"small":[147],"mean.":[152],"An":[153],"illustrative":[154],"example":[155],"shows":[156],"implementation":[158],"proposed":[163],"charts.Keywords:":[165],"Average":[166],"time-to-signalExpected":[167],"relative":[168],"average":[169],"time-to-signalMonte":[170],"simulationProcess":[172],"meanStatistical":[173],"controlVariable":[175],"intervalWeighted":[180],"AcknowledgementThe":[183],"authors":[184],"thankful":[186],"to":[187,197],"anonymous":[189],"reviewers":[190],"for":[191],"providing":[192],"useful":[193],"comments":[194],"led":[196],"an":[198],"improved":[199],"version":[200],"article.Disclosure":[203],"statementNo":[204],"potential":[205],"conflict":[206],"interest":[208],"was":[209],"reported":[210],"author(s).":[213]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
