{"id":"https://openalex.org/W2139641733","doi":"https://doi.org/10.1002/qre.1033","title":"Impact of model misspecification on the exponential EWMA charts: a robustness study when the time\u2010between\u2010events are not exponential","display_name":"Impact of model misspecification on the exponential EWMA charts: a robustness study when the time\u2010between\u2010events are not exponential","publication_year":2009,"publication_date":"2009-06-26","ids":{"openalex":"https://openalex.org/W2139641733","doi":"https://doi.org/10.1002/qre.1033","mag":"2139641733"},"language":"en","primary_location":{"id":"doi:10.1002/qre.1033","doi":"https://doi.org/10.1002/qre.1033","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.1033","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/A5064416519","display_name":"Canan Pehlivan","orcid":"https://orcid.org/0000-0001-9800-7873","observed_orcids":["https://orcid.org/0000-0001-9800-7873"]},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Canan Pehlivan","raw_affiliation_strings":["Department of Industrial Engineering, Hacettepe University, Ankara 06800, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Hacettepe University, Ankara 06800, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009779448","display_name":"Murat Caner Testik","orcid":"https://orcid.org/0000-0003-2389-4759","observed_orcids":["https://orcid.org/0000-0003-2389-4759"]},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Murat Caner Testik","raw_affiliation_strings":["Department of Industrial Engineering, Hacettepe University, Ankara 06800, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Hacettepe University, Ankara 06800, Turkey","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009779448"],"corresponding_institution_ids":["https://openalex.org/I66514158"],"apc_list":{"value":4550,"currency":"USD","value_usd":4550},"apc_paid":null,"fwci":1.65,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.85480094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"26","issue":"2","first_page":"177","last_page":"190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":1.0,"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":1.0,"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":0.0,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","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/time-between-events","display_name":"time between events","score":0.671999990940094},{"id":"https://openalex.org/keywords/model-misspecification","display_name":"model misspecification","score":0.9810000061988831},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.7409999966621399},{"id":"https://openalex.org/keywords/mean-shift-detection","display_name":"mean shift detection","score":0.800000011920929},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.9710000157356262},{"id":"https://openalex.org/keywords/lognormal-distribution","display_name":"lognormal distribution","score":1.0},{"id":"https://openalex.org/keywords/run-length-distribution","display_name":"run length distribution","score":0.6179999709129333},{"id":"https://openalex.org/keywords/average-run-length","display_name":"average run length","score":0.7960000038146973},{"id":"https://openalex.org/keywords/markov-chain-simulation","display_name":"Markov chain simulation","score":0.6930000185966492}],"concepts":[{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.8963626623153687},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.6758955717086792},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.6690707206726074},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.6588171720504761},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6213712692260742},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.6016522645950317},{"id":"https://openalex.org/C151620405","wikidata":"https://www.wikidata.org/wiki/Q826116","display_name":"Log-normal distribution","level":2,"score":0.5974711775779724},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.5743306279182434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5530293583869934},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.5199900269508362},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.5013878345489502},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45988428592681885},{"id":"https://openalex.org/C167779127","wikidata":"https://www.wikidata.org/wiki/Q8041542","display_name":"X-bar chart","level":5,"score":0.4522925913333893},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4381181001663208},{"id":"https://openalex.org/C183057437","wikidata":"https://www.wikidata.org/wiki/Q671617","display_name":"Laplace distribution","level":3,"score":0.4345618188381195},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39266109466552734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.316689670085907},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.1824040412902832},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/qre.1033","doi":"https://doi.org/10.1002/qre.1033","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.1033","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":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W44177837","https://openalex.org/W112679860","https://openalex.org/W1999235153","https://openalex.org/W2000136326","https://openalex.org/W2024468191","https://openalex.org/W2050045857","https://openalex.org/W2056821499","https://openalex.org/W2150622218","https://openalex.org/W2163852290","https://openalex.org/W2793487410","https://openalex.org/W3009156693"],"related_works":["https://openalex.org/W7113665125","https://openalex.org/W2078391100","https://openalex.org/W4403156345","https://openalex.org/W7204228936","https://openalex.org/W3102250560","https://openalex.org/W7202290722","https://openalex.org/W3125418414","https://openalex.org/W4405952110","https://openalex.org/W1971333173","https://openalex.org/W2072506223"],"abstract_inverted_index":{"Abstract":[0],"Exponential":[1],"EWMA":[2,57,149],"control":[3],"chart":[4,58,96,138],"for":[5,16,27,112],"the":[6,17,24,28,32,37,52,55,67,73,90,95,101,114,130,147,161,172],"time\u2010between\u2010events":[7],"(TBE)":[8],"has":[9],"been":[10],"suggested":[11],"to":[12,50,154,158],"monitor":[13],"high\u2010quality":[14],"processes":[15],"early":[18],"detection":[19],"of":[20,46,54,75,89,103,124,129,137],"process":[21],"deteriorations.":[22],"Although":[23],"assumed":[25,65,162],"model":[26],"TBE":[29,68,77,91,105],"observations":[30],"is":[31,49,64,70,79,97,110,144],"exponential":[33,38,56,76,104,148],"distribution,":[34],"departures":[35,159],"from":[36,160],"form":[39],"may":[40],"occur":[41],"in":[42,59,171],"practice.":[43],"The":[44],"aim":[45],"this":[47],"research":[48],"investigate":[51],"sensitivity":[53],"detecting":[60],"mean":[61,69],"shifts.":[62],"It":[63],"that":[66,146],"known":[71],"but":[72],"assumption":[74,102],"distribution":[78],"incorrect.":[80],"As":[81],"test":[82],"cases,":[83],"various":[84],"Weibull":[85],"and":[86,127,142,166],"lognormal":[87],"distributions":[88],"are":[92,140,169],"considered":[93],"while":[94],"being":[98],"designed":[99,153],"under":[100],"distribution.":[106,133,163],"Markov":[107],"chain":[108],"method":[109],"implemented":[111],"calculating":[113],"performance":[115],"measures":[116],"such":[117],"as":[118],"average":[119],"run":[120,125,131],"length,":[121,126],"standard":[122],"deviation":[123],"percentiles":[128],"length":[132],"A":[134],"wide":[135],"range":[136],"designs":[139],"examined":[141],"it":[143],"observed":[145],"charts":[150],"can":[151],"be":[152,155],"extremely":[156],"robust":[157],"Numerical":[164],"results":[165],"practical":[167],"suggestions":[168],"provided":[170],"following.":[173],"Copyright":[174],"\u00a9":[175],"2009":[176],"John":[177],"Wiley":[178],"&":[179],"Sons,":[180],"Ltd.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-24T09:50:30.924529","created_date":"2016-06-24T00:00:00"}