{"id":"https://openalex.org/W1597957877","doi":"https://doi.org/10.1002/9781118763667.ch10","title":"Multivariate Statistical Process Control","display_name":"Multivariate Statistical Process Control","publication_year":2013,"publication_date":"2013-12-13","ids":{"openalex":"https://openalex.org/W1597957877","doi":"https://doi.org/10.1002/9781118763667.ch10","mag":"1597957877"},"language":"en","primary_location":{"id":"doi:10.1002/9781118763667.ch10","doi":"https://doi.org/10.1002/9781118763667.ch10","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781118763667.ch10","pdf_url":null,"source":{"id":"https://openalex.org/S4306464293","display_name":"Wiley eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Modern Industrial Statistics","raw_type":"other"},"volume":{"id":"https://openalex.org/W2966736135","display_name":"Modern Industrial Statistics"},"type":"book-chapter","is_traditional":true,"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/A5038915241","display_name":"Ron S. Kenett","orcid":"https://orcid.org/0000-0003-2315-0477","observed_orcids":["https://orcid.org/0000-0003-2315-0477"]},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Ron S. Kenett","raw_affiliation_strings":["Chairman and CEO, the KPA Group, Israel Research Professor, University of Turin, Italy, and International Professor, NYU, Center for Risk Engineering, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chairman and CEO, the KPA Group, Israel Research Professor, University of Turin, Italy, and International Professor, NYU, Center for Risk Engineering, New York, USA","institution_ids":["https://openalex.org/I55143463","https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108246188","display_name":"Shelemyahu Zacks","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shelemyahu Zacks","raw_affiliation_strings":["Distinguished Professor, Binghamton University, Binghamton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distinguished Professor, Binghamton University, Binghamton, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027227301","display_name":"Daniele Amberti","orcid":"https://orcid.org/0009-0009-8759-1424","observed_orcids":["https://orcid.org/0009-0009-8759-1424"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniele Amberti","raw_affiliation_strings":["Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turin, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5242,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76231884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9994999766349792,"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":0.9994999766349792,"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":0.0005000000237487257,"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/T13141","display_name":"Statistical Methods 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/multivariate-statistical-process-control","display_name":"multivariate statistical process control","score":0.9980000257492065},{"id":"https://openalex.org/keywords/multivariate-control-charts","display_name":"multivariate control charts","score":0.9980000257492065},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"multivariate analysis","score":0.8360000252723694},{"id":"https://openalex.org/keywords/multivariate-process-capability-indices","display_name":"multivariate process capability indices","score":0.9419999718666077},{"id":"https://openalex.org/keywords/tolerance-specification","display_name":"tolerance specification","score":0.7480000257492065},{"id":"https://openalex.org/keywords/bioequivalence","display_name":"bioequivalence","score":0.9089999794960022},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.9359999895095825},{"id":"https://openalex.org/keywords/quality-control","display_name":"quality control","score":0.4490000009536743}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.8576523065567017},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.6293771266937256},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.6287567615509033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5413352251052856},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.5293401479721069},{"id":"https://openalex.org/C192424360","wikidata":"https://www.wikidata.org/wiki/Q929408","display_name":"Multivariate analysis of variance","level":2,"score":0.4833085536956787},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.46781110763549805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46136751770973206},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42280858755111694},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38207975029945374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24453404545783997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23675844073295593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14964476227760315},{"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:10.1002/9781118763667.ch10","doi":"https://doi.org/10.1002/9781118763667.ch10","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781118763667.ch10","pdf_url":null,"source":{"id":"https://openalex.org/S4306464293","display_name":"Wiley eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Modern Industrial Statistics","raw_type":"other"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2618464529","https://openalex.org/W7098576966","https://openalex.org/W3123138498","https://openalex.org/W7098060350","https://openalex.org/W2089056145","https://openalex.org/W621028625","https://openalex.org/W7095704869","https://openalex.org/W1895870097","https://openalex.org/W6991546518","https://openalex.org/W2366373229"],"abstract_inverted_index":{"This":[0],"chapter":[1,34],"presents":[2],"the":[3,10,29,33,73,76,80,98,122],"construction":[4],"of":[5,20,24,32,75,95,100,102],"multivariate":[6,11,25,44,49,134,137],"control":[7,16,82,135,141],"charts":[8],"with":[9,88],"data.":[12],"Multivariate":[13],"statistical":[14,139],"process":[15,50,140],"(MSPC)":[17],"requires":[18],"applications":[19],"methods":[21,37],"and":[22,28,38,46,67,79],"tools":[23],"data":[26,45],"analysis,":[27],"first":[30],"section":[31,41,86],"reviews":[35],"such":[36,62],"tools.":[39],"A":[40],"focuses":[42],"on":[43],"describes":[47],"several":[48,59,126],"capability":[51],"indices.":[52],"In":[53,109],"setting":[54],"MSPC":[55,96],"charts,":[56],"one":[57],"meets":[58],"alternative":[60],"scenarios,":[61],"as":[63],"internally":[64],"derived":[65,71],"targets":[66],"externally":[68],"assigned":[69],"targets,":[70],"from":[72],"characteristics":[74],"reference":[77],"sample":[78],"appropriate":[81],"procedure.":[83],"The":[84],"final":[85],"deals":[87],"tolerance":[89],"specifications,":[90],"where":[91],"a":[92,115],"special":[93],"application":[94],"to":[97,121],"monitoring":[99],"bioequivalence":[101],"drug":[103,117],"product":[104,124],"dissolution":[105,127],"profiles,":[106],"is":[107],"explained.":[108],"this":[110],"application,":[111],"tablets":[112],"manufactured":[113],"by":[114],"generic":[116],"company":[118],"are":[119],"compared":[120],"original":[123],"at":[125],"times.":[128],"Controlled":[129],"Vocabulary":[130],"Terms":[131],"Mahalanobis":[132],"distance;":[133],"charts;":[136],"statistics;":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
