{"id":"https://openalex.org/W68032550","doi":"https://doi.org/10.1007/978-3-7908-2846-7_2","title":"On the Robustness of the Shewhart Control Chart to Different Types of Dependencies in Data","display_name":"On the Robustness of the Shewhart Control Chart to Different Types of Dependencies in Data","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W68032550","doi":"https://doi.org/10.1007/978-3-7908-2846-7_2","mag":"68032550"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-7908-2846-7_2","doi":"https://doi.org/10.1007/978-3-7908-2846-7_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-7908-2846-7_2","pdf_url":null,"source":{"id":"https://openalex.org/S4306463753","display_name":"Physica-Verlag eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Statistical Quality Control 10","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4302033099","display_name":"Frontiers in Statistical Quality Control 10"},"type":"book-chapter","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/A5023109012","display_name":"Olgierd Hryniewicz","orcid":"https://orcid.org/0000-0001-9877-508X","observed_orcids":["https://orcid.org/0000-0001-9877-508X"]},"institutions":[{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Olgierd Hryniewicz","raw_affiliation_strings":["Systems Research Institute, Newelska 6, 01-447, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Research Institute, Newelska 6, 01-447, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023109012"],"corresponding_institution_ids":["https://openalex.org/I66083562"],"apc_list":null,"apc_paid":null,"fwci":4.0301,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.90849673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"33"},"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/T13500","display_name":"Probability and Statistical Research","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/shewhart-control-charts","display_name":"Shewhart control charts","score":0.9729999899864197},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.781000018119812},{"id":"https://openalex.org/keywords/dependence-structure","display_name":"dependence structure","score":0.6859999895095825},{"id":"https://openalex.org/keywords/copulas","display_name":"copulas","score":0.9850000143051147},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"autocorrelation","score":0.800000011920929},{"id":"https://openalex.org/keywords/average-run-length","display_name":"average run length","score":0.949999988079071},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"statistical process control","score":0.7250000238418579},{"id":"https://openalex.org/keywords/non-normal-data","display_name":"non-normal data","score":0.6520000100135803}],"concepts":[{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.8134568929672241},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6396536231040955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5671299695968628},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5179775953292847},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5139316916465759},{"id":"https://openalex.org/C159848633","wikidata":"https://www.wikidata.org/wiki/Q7495725","display_name":"Shewhart individuals control chart","level":5,"score":0.4577788710594177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43644729256629944},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.41680383682250977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39663928747177124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3386450409889221},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3307896852493286},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.14078202843666077},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0945391058921814},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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:10.1007/978-3-7908-2846-7_2","doi":"https://doi.org/10.1007/978-3-7908-2846-7_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-7908-2846-7_2","pdf_url":null,"source":{"id":"https://openalex.org/S4306463753","display_name":"Physica-Verlag eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Statistical Quality Control 10","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W121342495","https://openalex.org/W137568806","https://openalex.org/W141182655","https://openalex.org/W151046197","https://openalex.org/W1489457921","https://openalex.org/W1558707930","https://openalex.org/W1566641586","https://openalex.org/W1585261948","https://openalex.org/W1843074663","https://openalex.org/W1968459931","https://openalex.org/W1969310047","https://openalex.org/W1983074539","https://openalex.org/W1985031629","https://openalex.org/W1985239041","https://openalex.org/W1985409483","https://openalex.org/W2008269760","https://openalex.org/W2009521611","https://openalex.org/W2019162516","https://openalex.org/W2034090725","https://openalex.org/W2047653254","https://openalex.org/W2049567982","https://openalex.org/W2066446815","https://openalex.org/W2071359018","https://openalex.org/W2082248119","https://openalex.org/W2087150748","https://openalex.org/W2090272684","https://openalex.org/W2119436275","https://openalex.org/W2163300411","https://openalex.org/W2791282478","https://openalex.org/W2907233437","https://openalex.org/W4252717536","https://openalex.org/W6678119076"],"related_works":["https://openalex.org/W885940846","https://openalex.org/W2082248119","https://openalex.org/W2116775230","https://openalex.org/W2391465924","https://openalex.org/W2895692318","https://openalex.org/W7220161050","https://openalex.org/W2586732832","https://openalex.org/W7023791634","https://openalex.org/W2056654710","https://openalex.org/W2911641922"],"abstract_inverted_index":{"Shewhart":[0,118],"control":[1,54,119],"charts":[2,55],"were":[3],"originally":[4],"designed":[5],"under":[6],"the":[7,15,19,25,71,79,83,101,112,115],"assumption":[8],"of":[9,11,17,27,39,61,73,85,90,103,107,114,117],"independence":[10],"consecutive":[12],"observations.":[13],"In":[14,78],"presence":[16],"dependence":[18,108],"authors":[20],"usually":[21],"assume":[22],"dependencies":[23,40,89],"in":[24,109],"form":[26],"autocorrelated":[28,74],"and":[29,75,105],"normally":[30],"distributed":[31],"data.":[32,77],"However,":[33],"there":[34],"exist":[35],"many":[36],"other":[37,45,91],"types":[38,60],"which":[41],"are":[42,56],"described":[43],"by":[44],"mathematical":[46],"models.":[47],"The":[48],"question":[49],"arises":[50],"then,":[51],"how":[52],"classical":[53],"robust":[57],"to":[58,87,99],"different":[59],"dependencies.":[62],"This":[63],"problem":[64],"has":[65],"been":[66],"sufficiently":[67],"well":[68],"discussed":[69],"for":[70],"case":[72],"normal":[76],"paper":[80],"we":[81],"use":[82,94],"concept":[84],"copulas":[86],"model":[88],"types.":[92],"We":[93],"Monte":[95],"Carlo":[96],"simulation":[97],"experiments":[98],"investigate":[100],"impact":[102],"type":[104],"strength":[106],"data":[110],"on":[111],"value":[113],"ARL":[116],"charts.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}