{"id":"https://openalex.org/W4407039853","doi":"https://doi.org/10.1177/14727978241295537","title":"Empirical Bayesian estimation of parameters in step-stress accelerated life testing under exponential distribution with constant censoring","display_name":"Empirical Bayesian estimation of parameters in step-stress accelerated life testing under exponential distribution with constant censoring","publication_year":2024,"publication_date":"2024-11-01","ids":{"openalex":"https://openalex.org/W4407039853","doi":"https://doi.org/10.1177/14727978241295537"},"language":"en","primary_location":{"id":"doi:10.1177/14727978241295537","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978241295537","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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":null,"display_name":"Shi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155828","display_name":"Hezhou University","ror":"https://ror.org/04nm9ed20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Wei","raw_affiliation_strings":["Hezhou University","School of Teacher Education, Hezhou University, Hezhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hezhou University","institution_ids":["https://openalex.org/I4210155828"]},{"raw_affiliation_string":"School of Teacher Education, Hezhou University, Hezhou, China","institution_ids":["https://openalex.org/I4210155828"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinhua Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155828","display_name":"Hezhou University","ror":"https://ror.org/04nm9ed20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155828"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhua Lan","raw_affiliation_strings":["Hezhou University","School of Teacher Education, Hezhou University, Hezhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hezhou University","institution_ids":["https://openalex.org/I4210155828"]},{"raw_affiliation_string":"School of Teacher Education, Hezhou University, Hezhou, China","institution_ids":["https://openalex.org/I4210155828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061673596","display_name":"Guoyuan He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155828","display_name":"Hezhou University","ror":"https://ror.org/04nm9ed20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyuan He","raw_affiliation_strings":["Hezhou University","School of Teacher Education, Hezhou University, Hezhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hezhou University","institution_ids":["https://openalex.org/I4210155828"]},{"raw_affiliation_string":"School of Teacher Education, Hezhou University, Hezhou, China","institution_ids":["https://openalex.org/I4210155828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210155828"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24940945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"6","first_page":"3467","last_page":"3476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9918000102043152,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9865999817848206,"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/censoring","display_name":"Censoring (clinical trials)","score":0.8751593828201294},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.6962395310401917},{"id":"https://openalex.org/keywords/accelerated-life-testing","display_name":"Accelerated life testing","score":0.5703334212303162},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5224144458770752},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.509189784526825},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5076111555099487},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5003182888031006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4595967233181},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.44803521037101746},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.36878347396850586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30841028690338135},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09725585579872131},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.06459355354309082}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8751593828201294},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.6962395310401917},{"id":"https://openalex.org/C158379689","wikidata":"https://www.wikidata.org/wiki/Q3533504","display_name":"Accelerated life testing","level":3,"score":0.5703334212303162},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5224144458770752},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.509189784526825},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5076111555099487},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5003182888031006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4595967233181},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.44803521037101746},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.36878347396850586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30841028690338135},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09725585579872131},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.06459355354309082},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978241295537","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978241295537","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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":15,"referenced_works":["https://openalex.org/W2760561349","https://openalex.org/W2791146047","https://openalex.org/W2884849372","https://openalex.org/W2889322704","https://openalex.org/W2937223525","https://openalex.org/W3044370081","https://openalex.org/W3092359551","https://openalex.org/W3135622002","https://openalex.org/W3165558045","https://openalex.org/W3195734807","https://openalex.org/W3216924105","https://openalex.org/W4213197523","https://openalex.org/W4295854286","https://openalex.org/W4298034353","https://openalex.org/W4386503894"],"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/W4406290665","https://openalex.org/W2361690267","https://openalex.org/W2295812574","https://openalex.org/W2085667044"],"abstract_inverted_index":{"This":[0,83],"study":[1],"explores":[2],"the":[3,17,27,30,42,62,86,95,105,121],"Parametric":[4],"Empirical":[5],"Bayesian":[6,102],"(PEB)":[7],"estimation":[8,81],"of":[9,19,29,44,51,64,94,100,107,123],"average":[10],"lifetime":[11],"and":[12,97,118],"acceleration":[13],"factor":[14],"parameters":[15],"under":[16],"framework":[18],"exponential":[20],"distribution":[21,32],"with":[22],"constant":[23],"censoring,":[24],"specifically":[25],"when":[26],"hyperparameters":[28],"prior":[31],"are":[33],"completely":[34],"unknown.":[35],"Employing":[36],"a":[37,91],"weighted":[38],"squared":[39],"loss":[40],"function,":[41],"performance":[43],"PEB":[45,65],"estimations":[46,66],"is":[47],"compared":[48],"against":[49],"that":[50],"Maximum":[52],"Likelihood":[53],"Estimations":[54],"(MLE)":[55],"through":[56],"numerical":[57],"simulations.":[58],"The":[59],"results":[60],"demonstrate":[61],"superiority":[63],"over":[67],"MLE,":[68],"particularly":[69],"notable":[70],"in":[71,104,120],"scenarios":[72],"involving":[73],"small":[74],"sample":[75],"sizes,":[76],"where":[77],"it":[78],"exhibits":[79],"robust":[80],"capabilities.":[82],"paper":[84],"extends":[85],"existing":[87],"methodology":[88],"by":[89],"providing":[90],"comprehensive":[92],"examination":[93],"advantages":[96],"potential":[98],"applications":[99],"empirical":[101],"approaches":[103],"context":[106],"step-stress":[108],"accelerated":[109],"life":[110],"testing,":[111],"thereby":[112],"offering":[113],"valuable":[114],"insights":[115],"for":[116],"researchers":[117],"practitioners":[119],"field":[122],"reliability":[124],"engineering.":[125]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}