{"id":"https://openalex.org/W1980999962","doi":"https://doi.org/10.1002/qre.604","title":"An Empirical Bayes Process Monitoring Technique for Polytomous Data","display_name":"An Empirical Bayes Process Monitoring Technique for Polytomous Data","publication_year":2004,"publication_date":"2004-11-15","ids":{"openalex":"https://openalex.org/W1980999962","doi":"https://doi.org/10.1002/qre.604","mag":"1980999962"},"language":"en","primary_location":{"id":"doi:10.1002/qre.604","doi":"https://doi.org/10.1002/qre.604","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.604","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/A5055666985","display_name":"Jyh\u2010Jen Horng Shiau","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jyh\u2010Jen H. Shiau","raw_affiliation_strings":["Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan 300"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan 300","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109219244","display_name":"Chih\u2010Rung Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih\u2010Rung Chen","raw_affiliation_strings":["Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan 300"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan 300","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109381974","display_name":"Carol J. Feltz","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I102502594","display_name":"Northern Illinois University","ror":"https://ror.org/012wxa772","country_code":"US","type":"education","lineage":["https://openalex.org/I102502594"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carol J. Feltz","raw_affiliation_strings":["Division of Statistics, Northern Illinois University, DeKalb, IL 60115, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Statistics, Northern Illinois University, DeKalb, IL 60115, U.S.A","institution_ids":["https://openalex.org/I102502594"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109381974"],"corresponding_institution_ids":["https://openalex.org/I102502594"],"apc_list":{"value":4550,"currency":"USD","value_usd":4550},"apc_paid":null,"fwci":0.4241,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70019036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"1","first_page":"13","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9955999851226807,"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":0.9955999851226807,"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":0.002300000051036477,"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":0.0003000000142492354,"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/polytomous-data","display_name":"polytomous data","score":0.7990000247955322},{"id":"https://openalex.org/keywords/multinomial-model","display_name":"multinomial model","score":0.902999997138977},{"id":"https://openalex.org/keywords/dirichlet-prior","display_name":"Dirichlet prior","score":0.9990000128746033},{"id":"https://openalex.org/keywords/process-monitoring","display_name":"process monitoring","score":0.5540000200271606},{"id":"https://openalex.org/keywords/quasi-maximum-likelihood-estimation","display_name":"quasi-maximum likelihood estimation","score":0.8220000267028809},{"id":"https://openalex.org/keywords/method-of-moments-estimation","display_name":"method of moments estimation","score":0.9259999990463257},{"id":"https://openalex.org/keywords/average-run-length","display_name":"average run length","score":0.8880000114440918},{"id":"https://openalex.org/keywords/manufacturing-processes","display_name":"production process","score":0.5}],"concepts":[{"id":"https://openalex.org/C207968926","wikidata":"https://www.wikidata.org/wiki/Q7227107","display_name":"Polytomous Rasch model","level":4,"score":0.8377527594566345},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6328728199005127},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5548238158226013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49362194538116455},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4696083962917328},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.4622288644313812},{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.4334947466850281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42741236090660095},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40171417593955994},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3220900297164917},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.24908995628356934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19786548614501953},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.17576909065246582},{"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/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/qre.604","doi":"https://doi.org/10.1002/qre.604","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.604","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":[{"id":"https://openalex.org/F4320309568","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06"},{"id":"https://openalex.org/F4320318036","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378"},{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320323092","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W39922224","https://openalex.org/W191383808","https://openalex.org/W1494853941","https://openalex.org/W1494902407","https://openalex.org/W1968269771","https://openalex.org/W2001746283","https://openalex.org/W2045656233","https://openalex.org/W2067870927","https://openalex.org/W2079248362","https://openalex.org/W2086122342","https://openalex.org/W2127511210","https://openalex.org/W2130695933","https://openalex.org/W2157202423","https://openalex.org/W2479390720","https://openalex.org/W3172986746","https://openalex.org/W4205256993","https://openalex.org/W4301861531"],"related_works":["https://openalex.org/W2127511210","https://openalex.org/W4242349381","https://openalex.org/W1971797249","https://openalex.org/W1717391544","https://openalex.org/W1577401309","https://openalex.org/W2171017735","https://openalex.org/W2046619082","https://openalex.org/W2086122342","https://openalex.org/W2143118843","https://openalex.org/W1606036350"],"abstract_inverted_index":{"Abstract":[0],"When":[1],"a":[2,32,96],"product":[3],"item":[4],"is":[5,29,100,124,136,148],"tested,":[6],"usually":[7],"one":[8],"has":[9],"more":[10],"information":[11],"than":[12,108],"just":[13],"pass":[14],"or":[15],"fail.":[16],"Often":[17],"there":[18],"are":[19,91],"categories":[20,45],"of":[21,26,38,46,84,87,119,131,145],"failure":[22],"modes.":[23,48],"The":[24,126],"purpose":[25],"this":[27],"paper":[28],"to":[30,34,65,141],"develop":[31],"method":[33],"monitor":[35],"the":[36,39,50,58,80,85,88,103,109,116,120,132,143,146],"fractions":[37,123],"tested":[40],"items":[41],"falling":[42],"into":[43],"different":[44],"pass/fail":[47,122],"Using":[49],"multinomial":[51],"model":[52],"with":[53],"Dirichlet":[54],"prior,":[55],"we":[56],"describe":[57],"theory":[59],"underlying":[60],"an":[61,139],"empirical":[62],"Bayes":[63],"approach":[64],"monitoring":[66,112,134],"polytomous":[67],"data":[68],"generated":[69],"in":[70],"manufacturing":[71],"processes.":[72],"A":[73,111],"pseudo":[74],"maximum":[75],"likelihood":[76],"estimator":[77,82],"(PMLE)":[78],"and":[79,93],"method\u2010of\u2010moments":[81],"(MME)":[83],"hyperparameters":[86],"prior":[89],"distribution":[90],"considered":[92],"compared":[94],"by":[95],"simulation":[97],"study.":[98],"It":[99],"found":[101],"that":[102],"PMLE":[104],"performs":[105],"slightly":[106],"better":[107],"MME.":[110],"scheme":[113,135],"based":[114],"on":[115],"marginal":[117],"distributions":[118],"observed":[121],"proposed.":[125],"average":[127],"run":[128],"length":[129],"behavior":[130],"proposed":[133],"investigated.":[137],"Finally,":[138],"example":[140],"illustrate":[142],"use":[144],"technique":[147],"given.":[149],"Copyright":[150],"\u00a9":[151],"2004":[152],"John":[153],"Wiley":[154],"&":[155],"Sons,":[156],"Ltd.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2016-06-24T00:00:00"}