{"id":"https://openalex.org/W3032829137","doi":"https://doi.org/10.1285/i20705948v13n1p31","title":"Assessing the lifetime performance index of products with two-parameter Rayleigh Distribution under progressively type II right censored samples","display_name":"Assessing the lifetime performance index of products with two-parameter Rayleigh Distribution under progressively type II right censored samples","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3032829137","doi":"https://doi.org/10.1285/i20705948v13n1p31","mag":"3032829137"},"language":"en","primary_location":{"id":"pmh:oai:ese-journals.unisalento.it:article/20045","doi":null,"is_oa":true,"landing_page_url":"https://ese-journals.unisalento.it/index.php/ejasa/article/view/20045","pdf_url":"https://ese-journals.unisalento.it/index.php/ejasa/article/download/20045/18603","source":{"id":"https://openalex.org/S2764367334","display_name":"Electronic journal of applied statistical analysis","issn_l":"2070-5948","issn":["2070-5948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2070-5948","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ese-journals.unisalento.it/index.php/ejasa/article/download/20045/18603","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108678609","display_name":"Huijun Yi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Huijun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055447992","display_name":"Danush K. Wijekularathna","orcid":"https://orcid.org/0000-0002-4222-960X","observed_orcids":["https://orcid.org/0000-0002-4222-960X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wijekularathna, Danush K","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"1","first_page":"31","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9032999873161316,"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":0.9032999873161316,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.0940999984741211,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lifetime-performance-index","display_name":"lifetime performance index","score":0.9980000257492065},{"id":"https://openalex.org/keywords/maximum-likelihood-estimation","display_name":"maximum likelihood estimation","score":0.7889999747276306},{"id":"https://openalex.org/keywords/hypothesis-testing","display_name":"hypothesis testing","score":0.9190000295639038},{"id":"https://openalex.org/keywords/lower-specification-limit","display_name":"lower specification limit","score":0.8450000286102295},{"id":"https://openalex.org/keywords/data-transformation","display_name":"data transformation","score":0.6869999766349792},{"id":"https://openalex.org/keywords/monte-carlo-simulation","display_name":"Monte Carlo simulation","score":0.6110000014305115},{"id":"https://openalex.org/keywords/quality-control","display_name":"quality control","score":0.48500001430511475}],"concepts":[{"id":"https://openalex.org/C40940223","wikidata":"https://www.wikidata.org/wiki/Q637150","display_name":"Rayleigh distribution","level":3,"score":0.8042406439781189},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7258536219596863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5453897714614868},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5375333428382874},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5353491902351379},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5041803121566772},{"id":"https://openalex.org/C91439571","wikidata":"https://www.wikidata.org/wiki/Q1279773","display_name":"Process capability","level":3,"score":0.4957042932510376},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45013371109962463},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42101913690567017},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4207141697406769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3339523673057556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12013986706733704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10306689143180847},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.09476804733276367},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.0742408037185669},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:ese-journals.unisalento.it:article/20045","doi":null,"is_oa":true,"landing_page_url":"https://ese-journals.unisalento.it/index.php/ejasa/article/view/20045","pdf_url":"https://ese-journals.unisalento.it/index.php/ejasa/article/download/20045/18603","source":{"id":"https://openalex.org/S2764367334","display_name":"Electronic journal of applied statistical analysis","issn_l":"2070-5948","issn":["2070-5948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2070-5948","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:siba-ese.unisalento.it:article/20045","doi":null,"is_oa":true,"landing_page_url":"http://siba-ese.unisalento.it/index.php/ejasa/article/view/20045","pdf_url":null,"source":{"id":"https://openalex.org/S7407050994","display_name":"Universit\u00e0 del Salento","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I142910587","host_organization_name":"University of Salento","host_organization_lineage":["https://openalex.org/I142910587"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Journal of Applied Statistical Analysis; Vol 13, No 1 (2020): Electronic Journal of Applied Statistical Analysis; 31 - 46","raw_type":"Article Journal"},{"id":"doi:10.1285/i20705948v13n1p31","doi":"https://doi.org/10.1285/i20705948v13n1p31","is_oa":true,"landing_page_url":"https://doi.org/10.1285/i20705948v13n1p31","pdf_url":null,"source":{"id":"https://openalex.org/S7407050994","display_name":"Universit\u00e0 del Salento","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I142910587","host_organization_name":"University of Salento","host_organization_lineage":["https://openalex.org/I142910587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},{"id":"mag:3032829137","doi":null,"is_oa":false,"landing_page_url":"http://siba-ese.unisalento.it/index.php/ejasa/article/view/20045","pdf_url":null,"source":{"id":"https://openalex.org/S2764367334","display_name":"Electronic journal of applied statistical analysis","issn_l":"2070-5948","issn":["2070-5948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Electronic journal of applied statistical analysis","raw_type":null}],"best_oa_location":{"id":"pmh:oai:ese-journals.unisalento.it:article/20045","doi":null,"is_oa":true,"landing_page_url":"https://ese-journals.unisalento.it/index.php/ejasa/article/view/20045","pdf_url":"https://ese-journals.unisalento.it/index.php/ejasa/article/download/20045/18603","source":{"id":"https://openalex.org/S2764367334","display_name":"Electronic journal of applied statistical analysis","issn_l":"2070-5948","issn":["2070-5948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2070-5948","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3032829137.pdf","grobid_xml":"https://content.openalex.org/works/W3032829137.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2258382584","https://openalex.org/W3126281209","https://openalex.org/W2953590307","https://openalex.org/W2741419953","https://openalex.org/W1964428227","https://openalex.org/W1965449643","https://openalex.org/W3197608592","https://openalex.org/W2969850506","https://openalex.org/W1978901782","https://openalex.org/W2094228883"],"abstract_inverted_index":{"In":[0,35],"practice,":[1],"process":[2,24],"capability":[3],"indices":[4],"(PCIs)":[5],"are":[6],"widely":[7],"used":[8,21],"in":[9],"the":[10,31,53,59,82,89,92],"field":[11],"of":[12,50,68,91],"quality":[13],"control.":[14],"The":[15,66],"lifetime":[16,93],"performance":[17],"index":[18],"(CL)":[19],"is":[20,30,70],"to":[22,43,73,87],"measure":[23],"potential":[25],"and":[26],"performance,":[27],"where":[28],"L":[29],"lower":[32],"specification":[33],"limit.":[34],"this":[36],"paper,":[37],"we":[38,80],"apply":[39],"data":[40],"transformation":[41],"technology":[42],"construct":[44],"a":[45,75],"maximum":[46],"likelihood":[47],"estimator":[48],"(MLE)":[49],"CL":[51,69],"under":[52],"two-parameter":[54],"Rayleigh":[55],"distribution":[56],"based":[57],"on":[58],"progressively":[60],"type":[61],"II":[62],"right":[63],"censored":[64],"sample.":[65],"MLE":[67],"then":[71],"utilized":[72],"develop":[74],"hypothesis":[76],"testing":[77],"procedure.":[78],"Finally,":[79],"give":[81],"Monte":[83],"Carlo":[84],"power":[85],"simulation":[86],"assess":[88],"behavior":[90],"perform":[94],"index.":[95]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2020-06-05T00:00:00"}
