{"id":"https://openalex.org/W2768048974","doi":"https://doi.org/10.1109/tr.2017.2747762","title":"Exact Confidence Limits for the Acceleration Factor Under Constant-Stress Partially Accelerated Life Tests With Type-I Censoring","display_name":"Exact Confidence Limits for the Acceleration Factor Under Constant-Stress Partially Accelerated Life Tests With Type-I Censoring","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2768048974","doi":"https://doi.org/10.1109/tr.2017.2747762","mag":"2768048974"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2017.2747762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2017.2747762","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/A5008656307","display_name":"Deqiang Zheng","orcid":"https://orcid.org/0000-0002-5659-5045"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deqiang Zheng","raw_affiliation_strings":["Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China","Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065484189","display_name":"Xiangzhong Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangzhong Fang","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008656307"],"corresponding_institution_ids":["https://openalex.org/I183519381"],"apc_list":null,"apc_paid":null,"fwci":1.6322,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87667821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9944999814033508,"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"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9944999814033508,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9764000177383423,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.8664541244506836},{"id":"https://openalex.org/keywords/accelerated-life-testing","display_name":"Accelerated life testing","score":0.7471018433570862},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5368658900260925},{"id":"https://openalex.org/keywords/reliability-theory","display_name":"Reliability theory","score":0.5301877856254578},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5080047249794006},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5013971328735352},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.42450612783432007},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41462013125419617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36471986770629883},{"id":"https://openalex.org/keywords/failure-rate","display_name":"Failure rate","score":0.32225140929222107},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.2674720883369446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24647065997123718},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19072315096855164},{"id":"https://openalex.org/keywords/classical-mechanics","display_name":"Classical mechanics","score":0.06959223747253418}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8664541244506836},{"id":"https://openalex.org/C158379689","wikidata":"https://www.wikidata.org/wiki/Q3533504","display_name":"Accelerated life testing","level":3,"score":0.7471018433570862},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5368658900260925},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.5301877856254578},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5080047249794006},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5013971328735352},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.42450612783432007},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41462013125419617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36471986770629883},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.32225140929222107},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.2674720883369446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24647065997123718},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19072315096855164},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.06959223747253418},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2017.2747762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2017.2747762","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":[{"score":0.5,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G4073264616","display_name":null,"funder_award_id":"11171007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W109913410","https://openalex.org/W269905795","https://openalex.org/W1485305857","https://openalex.org/W1502116762","https://openalex.org/W1995079092","https://openalex.org/W1995945562","https://openalex.org/W2005308861","https://openalex.org/W2017830509","https://openalex.org/W2024476015","https://openalex.org/W2028832334","https://openalex.org/W2031960899","https://openalex.org/W2046052677","https://openalex.org/W2047872210","https://openalex.org/W2049633694","https://openalex.org/W2055315310","https://openalex.org/W2057022718","https://openalex.org/W2066974974","https://openalex.org/W2068206876","https://openalex.org/W2084595463","https://openalex.org/W2102128226","https://openalex.org/W2107139289","https://openalex.org/W2110991700","https://openalex.org/W2117897510","https://openalex.org/W2118254160","https://openalex.org/W2137591261","https://openalex.org/W2137605830","https://openalex.org/W2138542818","https://openalex.org/W2151038992","https://openalex.org/W2171291775","https://openalex.org/W2790092024","https://openalex.org/W3106889297","https://openalex.org/W4238133103","https://openalex.org/W4240835314","https://openalex.org/W6609920265"],"related_works":["https://openalex.org/W2352398645","https://openalex.org/W4390736826","https://openalex.org/W4281786091","https://openalex.org/W2591193890","https://openalex.org/W2548637173","https://openalex.org/W2958724840","https://openalex.org/W2361690267","https://openalex.org/W2295812574","https://openalex.org/W2145249654","https://openalex.org/W2765748783"],"abstract_inverted_index":{"In":[0,53],"modern":[1],"lifetime":[2],"assessment":[3],"and":[4,101,111,127,152,178,188],"reliability":[5],"analysis,":[6],"accelerated":[7,46,203],"life":[8,21,47,204],"test":[9,48,205],"has":[10],"frequently":[11],"been":[12],"used":[13],"to":[14,206],"yield":[15],"information":[16],"quickly":[17],"so":[18],"that":[19,182],"the":[20,31,34,38,43,60,65,73,88,92,98,108,116,124,132,138,146,150,168,183,202],"distribution":[22],"of":[23,33,97,106,122,201],"products":[24],"can":[25],"be":[26],"estimated.":[27],"This":[28,81],"paper":[29],"considers":[30],"estimate":[32],"acceleration":[35,99,117,133,147],"factor":[36,134,148],"for":[37,64,115,131,145],"exponentially":[39],"distributed":[40],"lifetimes":[41],"under":[42],"constant-stress":[44],"partially":[45],"with":[49,56,167],"Type-I":[50],"censored":[51],"data.":[52],"many":[54],"applications":[55],"small":[57,192],"sample":[58,89,193],"sizes,":[59],"approximate":[61,142,170],"confidence":[62,113,129,143],"limits":[63,114,130,144],"parameters":[66],"based":[67],"on":[68,87],"large-sample":[69],"asymptotic":[70,151],"distributions":[71],"or":[72],"bootstrap":[74,153],"method":[75,185],"are":[76,155],"usually":[77],"not":[78],"accurate":[79],"enough.":[80],"study":[82],"defines":[83],"two":[84,169],"ordering":[85],"relations":[86],"space":[90],"by":[91,172],"generalized":[93],"maximum":[94],"likelihood":[95],"estimator":[96],"factor,":[100],"proposes":[102],"one":[103],"new":[104],"approach":[105,164],"constructing":[107],"exact":[109,125,163,184],"lower":[110,126],"upper":[112,128],"factor.":[118],"An":[119],"efficient":[120],"procedure":[121],"computing":[123],"is":[135,165,180,189],"presented":[136],"via":[137],"EM":[139],"algorithm.":[140],"The":[141,161],"using":[149],"methods":[154,171,209],"also":[156],"derived":[157],"in":[158,191,211],"this":[159,212],"study.":[160],"proposed":[162],"compared":[166],"carrying":[173],"out":[174],"extensive":[175],"simulation":[176],"studies,":[177],"it":[179],"shown":[181],"performs":[186],"well":[187],"robust":[190],"settings.":[194],"Finally,":[195],"we":[196],"present":[197],"a":[198],"real":[199],"example":[200],"illustrate":[207],"all":[208],"studied":[210],"paper.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}