{"id":"https://openalex.org/W4415823888","doi":"https://doi.org/10.1002/qre.70106","title":"Applications of a New Quantile Based Process Capability Index SpkQ$\\mathbb {S}^Q_{pk}$ to Electronic and Food Industries","display_name":"Applications of a New Quantile Based Process Capability Index SpkQ$\\mathbb {S}^Q_{pk}$ to Electronic and Food Industries","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4415823888","doi":"https://doi.org/10.1002/qre.70106"},"language":"en","primary_location":{"id":"doi:10.1002/qre.70106","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.70106","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,"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"},"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/A5069211701","display_name":"Mahendra Saha","orcid":"https://orcid.org/0000-0002-0819-5696"},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahendra Saha","raw_affiliation_strings":["Department of Statistics University of Delhi Delhi India","Department of Statistics, University of Delhi, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics University of Delhi Delhi India","institution_ids":["https://openalex.org/I110166357"]},{"raw_affiliation_string":"Department of Statistics, University of Delhi, Delhi, India","institution_ids":["https://openalex.org/I110166357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089461276","display_name":"Pratibha Pareek","orcid":"https://orcid.org/0009-0006-2124-2772"},"institutions":[{"id":"https://openalex.org/I76777374","display_name":"Central University of Rajasthan","ror":"https://ror.org/056y7zx62","country_code":"IN","type":"education","lineage":["https://openalex.org/I76777374"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pratibha Pareek","raw_affiliation_strings":["Department of Statistics Central University of Rajasthan Rajasthan India","Department of Statistics, Central University of Rajasthan, Rajasthan, India"],"raw_orcid":"https://orcid.org/0009-0006-2124-2772","affiliations":[{"raw_affiliation_string":"Department of Statistics Central University of Rajasthan Rajasthan India","institution_ids":["https://openalex.org/I76777374"]},{"raw_affiliation_string":"Department of Statistics, Central University of Rajasthan, Rajasthan, India","institution_ids":["https://openalex.org/I76777374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041506245","display_name":"Sanku Dey","orcid":"https://orcid.org/0000-0002-6900-8233"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanku Dey","raw_affiliation_strings":["Department of Statistics St. Anthony's College Shillong India","Department of Statistics, St. Anthony's College, Shillong, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics St. Anthony's College Shillong India","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics, St. Anthony's College, Shillong, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024402257","display_name":"Arvind Pandey","orcid":"https://orcid.org/0000-0003-1324-6985"},"institutions":[{"id":"https://openalex.org/I76777374","display_name":"Central University of Rajasthan","ror":"https://ror.org/056y7zx62","country_code":"IN","type":"education","lineage":["https://openalex.org/I76777374"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arvind Pandey","raw_affiliation_strings":["Department of Statistics Central University of Rajasthan Rajasthan India","Department of Statistics, Central University of Rajasthan, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Central University of Rajasthan Rajasthan India","institution_ids":["https://openalex.org/I76777374"]},{"raw_affiliation_string":"Department of Statistics, Central University of Rajasthan, Rajasthan, India","institution_ids":["https://openalex.org/I76777374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103873863","display_name":"Anju Devi","orcid":null},"institutions":[{"id":"https://openalex.org/I76777374","display_name":"Central University of Rajasthan","ror":"https://ror.org/056y7zx62","country_code":"IN","type":"education","lineage":["https://openalex.org/I76777374"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anju Devi","raw_affiliation_strings":["Department of Statistics Central University of Rajasthan Rajasthan India","Department of Statistics, Central University of Rajasthan, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics Central University of Rajasthan Rajasthan India","institution_ids":["https://openalex.org/I76777374"]},{"raw_affiliation_string":"Department of Statistics, Central University of Rajasthan, Rajasthan, India","institution_ids":["https://openalex.org/I76777374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089461276"],"corresponding_institution_ids":["https://openalex.org/I76777374"],"apc_list":{"value":4330,"currency":"USD","value_usd":4330},"apc_paid":null,"fwci":1.0394,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85000304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"42","issue":"2","first_page":"815","last_page":"836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9575999975204468,"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":0.9575999975204468,"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":0.01269999984651804,"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":0.004999999888241291,"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/process-capability-index","display_name":"Process capability index","score":0.7214000225067139},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.6498000025749207},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6251000165939331},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6043999791145325},{"id":"https://openalex.org/keywords/interval-estimation","display_name":"Interval estimation","score":0.5489000082015991},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.516700029373169},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5120000243186951},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5109999775886536},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.49559998512268066},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.44209998846054077}],"concepts":[{"id":"https://openalex.org/C190190378","wikidata":"https://www.wikidata.org/wiki/Q1192625","display_name":"Process capability index","level":3,"score":0.7214000225067139},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.6498000025749207},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6251000165939331},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6043999791145325},{"id":"https://openalex.org/C205167067","wikidata":"https://www.wikidata.org/wiki/Q3300636","display_name":"Interval estimation","level":3,"score":0.5489000082015991},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.516700029373169},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5120000243186951},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5109999775886536},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.49559998512268066},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.450300008058548},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44999998807907104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4456000030040741},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C91439571","wikidata":"https://www.wikidata.org/wiki/Q1279773","display_name":"Process capability","level":3,"score":0.4336000084877014},{"id":"https://openalex.org/C121117317","wikidata":"https://www.wikidata.org/wiki/Q4439221","display_name":"Credible interval","level":3,"score":0.43220001459121704},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.42179998755455017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4154999852180481},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.39989998936653137},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C47121976","wikidata":"https://www.wikidata.org/wiki/Q3489473","display_name":"Quantile function","level":4,"score":0.39169999957084656},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.38929998874664307},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.335099995136261},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.2858999967575073},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2851000130176544},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2777000069618225},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/qre.70106","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qre.70106","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,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W152569421","https://openalex.org/W1490872786","https://openalex.org/W1530884268","https://openalex.org/W1593449005","https://openalex.org/W1844981334","https://openalex.org/W1967439766","https://openalex.org/W1969761972","https://openalex.org/W1969946501","https://openalex.org/W1975975526","https://openalex.org/W2003167443","https://openalex.org/W2007636595","https://openalex.org/W2016404455","https://openalex.org/W2017717429","https://openalex.org/W2021604246","https://openalex.org/W2046262695","https://openalex.org/W2048509646","https://openalex.org/W2076447518","https://openalex.org/W2084568079","https://openalex.org/W2107841186","https://openalex.org/W2112440167","https://openalex.org/W2126458903","https://openalex.org/W2185025561","https://openalex.org/W2314431990","https://openalex.org/W2333693021","https://openalex.org/W2338874907","https://openalex.org/W2467305554","https://openalex.org/W2573107880","https://openalex.org/W2789613218","https://openalex.org/W2797026095","https://openalex.org/W2904177731","https://openalex.org/W2905934482","https://openalex.org/W2914116596","https://openalex.org/W2928864551","https://openalex.org/W2968532217","https://openalex.org/W2979458700","https://openalex.org/W3118695577","https://openalex.org/W3129987870","https://openalex.org/W3198157392","https://openalex.org/W4308475336","https://openalex.org/W4394818593","https://openalex.org/W4405131115","https://openalex.org/W4409193198","https://openalex.org/W4411820156","https://openalex.org/W4412964808"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"This":[1,178],"article":[2],"presents":[3],"a":[4],"novel":[5],"quantile\u2010based":[6],"process":[7,22,30,33,46],"capability":[8],"index":[9,126,186],"(PCI),":[10],"denoted":[11],"as":[12,65,67],",":[13],"which":[14],"is":[15,95,127,152],"suitable":[16],"for":[17,48,119],"both":[18,130],"normal":[19],"and":[20,54,135,147],"non\u2010normal":[21],"distributions,":[23],"particularly":[24],"in":[25,187],"the":[26,29,44,58,72,83,86,99,124,131,136,142,148,155,161,164,181,184],"cases":[27],"where":[28],"mean":[31],"or":[32],"standard":[34],"deviation":[35],"cannot":[36],"be":[37],"easily":[38],"evaluated.":[39],"Here,":[40],"we":[41],"have":[42],"considered":[43],"log\u2010logistic":[45],"distribution":[47],"this":[49],"present":[50],"study.":[51],"Both":[52],"point":[53,77,144,157],"interval":[55,134,140,151],"estimates":[56],"of":[57,123,145,158,183],"proposed":[59,100,125,185],"PCI":[60,101],"are":[61,80],"derived":[62],"using":[63,129],"classical":[64,73,143],"well":[66],"Bayesian":[68,84,156],"estimation":[69,78,122],"methods.":[70],"In":[71],"approach,":[74],"five":[75],"different":[76],"methods":[79],"considered.":[81],"For":[82],"analysis,":[85],"symmetric":[87],"loss":[88,93],"function,":[89],"namely,":[90],"squared":[91],"error":[92],"function":[94],"incorporated":[96],"to":[97,114],"assess":[98],".":[102,120],"The":[103],"Markov":[104],"Chain":[105],"Monte":[106,169],"Carlo":[107,170],"simulation":[108,171],"technique":[109],"has":[110],"been":[111],"effectively":[112],"employed":[113],"obtain":[115],"an":[116,167],"approximate":[117],"solution":[118],"Interval":[121],"obtained":[128,153],"asymptotic":[132],"confidence":[133,139],"parametric":[137],"bootstrap":[138],"from":[141,154],"view":[146],"Bayes":[149],"credible":[150],"view.":[159],"Finally,":[160],"paper":[162],"compares":[163],"results":[165],"through":[166],"extensive":[168],"study":[172],"with":[173],"four":[174],"real\u2010life":[175],"data":[176],"sets.":[177],"comparison":[179],"highlights":[180],"applicability":[182],"practical":[188],"scenarios.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-11-03T00:00:00"}