{"id":"https://openalex.org/W2749086296","doi":"https://doi.org/10.1109/tr.2017.2731680","title":"A Two-Stage Latent Variable Estimation Procedure for Time-Censored Accelerated Degradation Tests","display_name":"A Two-Stage Latent Variable Estimation Procedure for Time-Censored Accelerated Degradation Tests","publication_year":2017,"publication_date":"2017-08-21","ids":{"openalex":"https://openalex.org/W2749086296","doi":"https://doi.org/10.1109/tr.2017.2731680","mag":"2749086296"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2017.2731680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2017.2731680","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","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/A5056776371","display_name":"Ming\u2010Yung Lee","orcid":"https://orcid.org/0000-0002-3617-9423"},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Yung Lee","raw_affiliation_strings":["Statistics and Informatics Department, Providence University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics and Informatics Department, Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055051779","display_name":"Cheng-Hung Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Hung Hu","raw_affiliation_strings":["Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040047709","display_name":"Jen Tang","orcid":"https://orcid.org/0000-0002-5960-148X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jen Tang","raw_affiliation_strings":["Krannert Graduate School of Management, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-5960-148X","affiliations":[{"raw_affiliation_string":"Krannert Graduate School of Management, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9472,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77294018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"66","issue":"4","first_page":"1266","last_page":"1279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9991000294685364,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.8570924997329712},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7822328805923462},{"id":"https://openalex.org/keywords/accelerated-life-testing","display_name":"Accelerated life testing","score":0.5229140520095825},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5142185688018799},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49594244360923767},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.47321194410324097},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4228174090385437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39248576760292053},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.1436997652053833}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8570924997329712},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7822328805923462},{"id":"https://openalex.org/C158379689","wikidata":"https://www.wikidata.org/wiki/Q3533504","display_name":"Accelerated life testing","level":3,"score":0.5229140520095825},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5142185688018799},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49594244360923767},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.47321194410324097},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4228174090385437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39248576760292053},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.1436997652053833},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2017.2731680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2017.2731680","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G6307080208","display_name":null,"funder_award_id":"NSC 98-2118-M-126 -002 -","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W30374642","https://openalex.org/W1585926113","https://openalex.org/W1966549398","https://openalex.org/W1977776631","https://openalex.org/W1985827874","https://openalex.org/W1986825443","https://openalex.org/W1995723008","https://openalex.org/W2003216150","https://openalex.org/W2008504746","https://openalex.org/W2015796445","https://openalex.org/W2019925718","https://openalex.org/W2023344466","https://openalex.org/W2027351557","https://openalex.org/W2033756468","https://openalex.org/W2041429597","https://openalex.org/W2049045003","https://openalex.org/W2054451345","https://openalex.org/W2073610044","https://openalex.org/W2080324467","https://openalex.org/W2089986561","https://openalex.org/W2090749763","https://openalex.org/W2092650206","https://openalex.org/W2096731208","https://openalex.org/W2102041666","https://openalex.org/W2103221250","https://openalex.org/W2118808071","https://openalex.org/W2120860291","https://openalex.org/W2139553111","https://openalex.org/W2141669750","https://openalex.org/W2148451394","https://openalex.org/W2151038992","https://openalex.org/W2154582503","https://openalex.org/W2163871723","https://openalex.org/W2166604047","https://openalex.org/W2167352409","https://openalex.org/W2188678634","https://openalex.org/W2205682535","https://openalex.org/W2268459447","https://openalex.org/W2322423639","https://openalex.org/W2488758846","https://openalex.org/W2559988694","https://openalex.org/W3016217447","https://openalex.org/W4234099099","https://openalex.org/W4239218596","https://openalex.org/W4253428696","https://openalex.org/W4300699176","https://openalex.org/W6693271530"],"related_works":["https://openalex.org/W1976873809","https://openalex.org/W2085211054","https://openalex.org/W2383176656","https://openalex.org/W773704376","https://openalex.org/W2351312185","https://openalex.org/W1970280556","https://openalex.org/W2036884841","https://openalex.org/W2099482064","https://openalex.org/W3127232530","https://openalex.org/W4240945186"],"abstract_inverted_index":{"Parallel":[0],"constant-stress":[1],"accelerated":[2],"degradation":[3,24,54,71,163,185],"testing":[4],"(PCSADT)":[5],"is":[6,49],"widely":[7],"used":[8],"to":[9,116,144,172,194,212,221,231,238,246],"assess":[10],"the":[11,22,57,64,70,77,81,98,105,121,126,129,138,152,161,165,178,191,207,233,249],"reliability":[12],"of":[13,34,63,104,133,228],"highly":[14],"reliable":[15],"products":[16],"in":[17,255],"a":[18,29,45,73,85,113,134,157,174,225,243],"timely":[19],"manner":[20],"when":[21],"products'":[23],"can":[25,141],"be":[26,142,213],"measured.":[27],"Under":[28],"time-censored":[30],"PCSADT,":[31],"several":[32],"groups":[33],"units":[35,66],"are":[36,67,210,219],"tested":[37],"simultaneously,":[38],"but":[39],"under":[40,128,148],"different":[41,130],"stress":[42,82,131],"levels,":[43],"until":[44],"prespecified":[46],"censoring":[47,179,192],"time":[48,167,193],"reached.":[50],"At":[51],"this":[52,94,109,118],"time,":[53],"values":[55,186],"from":[56],"censored":[58],"units,":[59],"and":[60,101,218],"failure":[61,166],"times":[62],"failed":[65,170],"obtained.":[68],"When":[69],"follows":[72],"Wiener":[74],"process":[75],"where":[76],"parameters":[78],"depend":[79],"on":[80],"level":[83],"through":[84],"life-stress":[86],"model":[87,201],"containing":[88],"an":[89],"unknown":[90],"nuisance":[91],"parameter,":[92],"estimating":[93],"parameter":[95],"often":[96],"biases":[97],"maximum":[99],"likelihood":[100],"least-squares":[102],"estimators":[103,198,209,251],"lifetime":[106],"parameters.":[107,202],"In":[108,120,151,236],"paper,":[110],"we":[111,124,155,241],"propose":[112],"two-stage":[114],"procedure":[115],"address":[117],"problem.":[119],"first":[122],"stage,":[123,154],"transform":[125],"data":[127,140],"levels":[132],"PCSADT":[135],"so":[136],"that":[137,248],"resulting":[139],"considered":[143],"have":[145,215],"been":[146],"obtained":[147],"normal":[149],"stress.":[150],"second":[153],"introduce":[156],"latent":[158,196],"variable":[159,197],"for":[160,168,199],"unobserved":[162],"after":[164],"each":[169],"unit":[171],"obtain":[173],"pseudodegradation":[175],"value":[176],"at":[177,190],"time.":[180],"We":[181,223],"then":[182],"use":[183,224],"all":[184,200],"(pseudo":[187],"or":[188],"observed)":[189],"develop":[195],"Unlike":[203],"other":[204],"existing":[205],"estimators,":[206],"proposed":[208,234,250],"shown":[211],"s-consistent,":[214],"closed-form":[216],"expressions,":[217],"easy":[220],"interpret.":[222],"real":[226],"example":[227],"light-emitting":[229],"diodes":[230],"illustrate":[232],"method.":[235],"addition":[237],"proving":[239],"s-consistencies,":[240],"conduct":[242],"simulation":[244],"study":[245],"demonstrate":[247],"also":[252],"perform":[253],"well":[254],"finite":[256],"samples.":[257]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
