{"id":"https://openalex.org/W2899133520","doi":"https://doi.org/10.1080/03610918.2018.1471505","title":"Parametric bootstrap process capability index control charts for both mean and dispersion","display_name":"Parametric bootstrap process capability index control charts for both mean and dispersion","publication_year":2018,"publication_date":"2018-11-04","ids":{"openalex":"https://openalex.org/W2899133520","doi":"https://doi.org/10.1080/03610918.2018.1471505","mag":"2899133520"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1471505","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1471505","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/A5103253502","display_name":"Jiaqing Xu","orcid":"https://orcid.org/0000-0002-1539-5418"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Xu","raw_affiliation_strings":["School of Science, Ningbo University of Technology, Ningbo, Zhejiang, P. R. China;"],"raw_orcid":"https://orcid.org/0000-0002-1539-5418","affiliations":[{"raw_affiliation_string":"School of Science, Ningbo University of Technology, Ningbo, Zhejiang, P. R. China;","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101556377","display_name":"Cheng Peng","orcid":"https://orcid.org/0000-0002-0618-7887"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cheng Peng","raw_affiliation_strings":["WEX Inc., South Portland, Maine, USA"],"raw_orcid":"https://orcid.org/0000-0002-0618-7887","affiliations":[{"raw_affiliation_string":"WEX Inc., South Portland, Maine, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101556377"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7374,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76727736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"48","issue":"10","first_page":"2936","last_page":"2954"},"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":0.9851999878883362,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9625999927520752,"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/conventional-pci","display_name":"Conventional PCI","score":0.8388756513595581},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.834433376789093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.559817910194397},{"id":"https://openalex.org/keywords/control-limits","display_name":"Control limits","score":0.5490919351577759},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.532939076423645},{"id":"https://openalex.org/keywords/process-capability","display_name":"Process capability","score":0.5240455269813538},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5140076875686646},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5050056576728821},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.48467114567756653},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4123693108558655},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.40399298071861267},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3436707854270935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2759241461753845},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2075362503528595},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.09800857305526733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.05824542045593262},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.057390689849853516},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05465319752693176},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.05446028709411621}],"concepts":[{"id":"https://openalex.org/C45393284","wikidata":"https://www.wikidata.org/wiki/Q191012","display_name":"Conventional PCI","level":3,"score":0.8388756513595581},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.834433376789093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.559817910194397},{"id":"https://openalex.org/C166623804","wikidata":"https://www.wikidata.org/wiki/Q5165860","display_name":"Control limits","level":4,"score":0.5490919351577759},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.532939076423645},{"id":"https://openalex.org/C91439571","wikidata":"https://www.wikidata.org/wiki/Q1279773","display_name":"Process capability","level":3,"score":0.5240455269813538},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5140076875686646},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5050056576728821},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.48467114567756653},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4123693108558655},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.40399298071861267},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3436707854270935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2759241461753845},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2075362503528595},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.09800857305526733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.05824542045593262},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.057390689849853516},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05465319752693176},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.05446028709411621},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","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},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2018.1471505","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1471505","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311750","display_name":"University of Southern Maine","ror":"https://ror.org/050qj5m48"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320328768","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W15361444","https://openalex.org/W94194614","https://openalex.org/W152569421","https://openalex.org/W621293842","https://openalex.org/W1197829364","https://openalex.org/W1623768750","https://openalex.org/W1992102525","https://openalex.org/W2002591317","https://openalex.org/W2009305772","https://openalex.org/W2012628772","https://openalex.org/W2025779150","https://openalex.org/W2056654710","https://openalex.org/W2064336358","https://openalex.org/W2075031058","https://openalex.org/W2088760712","https://openalex.org/W2093313073","https://openalex.org/W2102129780","https://openalex.org/W2131167729","https://openalex.org/W2151411627","https://openalex.org/W2185025561","https://openalex.org/W2314431990","https://openalex.org/W2738600808","https://openalex.org/W2765670314","https://openalex.org/W3105702803","https://openalex.org/W4205431151","https://openalex.org/W4210706390","https://openalex.org/W4230917442","https://openalex.org/W4256170606"],"related_works":["https://openalex.org/W2738521322","https://openalex.org/W2123690118","https://openalex.org/W161582973","https://openalex.org/W2157195507","https://openalex.org/W2162546485","https://openalex.org/W203332907","https://openalex.org/W2180288713","https://openalex.org/W2028719067","https://openalex.org/W1971166932","https://openalex.org/W2080586055"],"abstract_inverted_index":{"Non-normal":[0],"processes":[1],"are":[2],"common":[3],"in":[4],"practice.":[5],"In":[6],"this":[7],"paper,":[8],"we":[9],"propose":[10],"a":[11,34],"novel":[12],"approach":[13],"to":[14,23,37,61,74,87],"defining":[15],"bootstrap":[16,35],"process":[17],"capability":[18],"index":[19],"(PCI)":[20],"control":[21,41,47,56,68,82,94],"charts":[22,57],"monitor":[24],"the":[25,44,53,63,66,76,79,89,92],"performance":[26,64,77],"of":[27,43,52,65,78,91],"in-control":[28],"skew":[29],"normal":[30],"processes.":[31],"We":[32,70],"use":[33,71],"method":[36],"calculate":[38],"phase":[39],"I":[40],"limits":[42],"corresponding":[45],"PCI":[46,55,67,81],"charts.":[48,69,83,95],"The":[49],"\u03b2-risk":[50],"curves":[51],"associated":[54],"will":[58],"be":[59],"used":[60],"assess":[62],"Monte-Carlo":[72],"simulation":[73],"evaluate":[75],"proposed":[80,93],"A":[84],"numerical":[85],"example":[86],"illustrate":[88],"implementation":[90]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
