{"id":"https://openalex.org/W4307171404","doi":"https://doi.org/10.3390/systems10060196","title":"Bayesian Inference of System Reliability for Multicomponent Stress-Strength Model under Marshall-Olkin Weibull Distribution","display_name":"Bayesian Inference of System Reliability for Multicomponent Stress-Strength Model under Marshall-Olkin Weibull Distribution","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4307171404","doi":"https://doi.org/10.3390/systems10060196"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10060196","pdf_url":"https://www.mdpi.com/2079-8954/10/6/196/pdf?version=1667294730","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/10/6/196/pdf?version=1667294730","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100646618","display_name":"Liming Zhang","orcid":"https://orcid.org/0000-0002-2664-8193"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Zhang","raw_affiliation_strings":["Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 314423, China","Department of Statistics, Zhejiang Gongshang University, Hangzhou 314423, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Zhejiang Gongshang University, Hangzhou 314423, China","institution_ids":["https://openalex.org/I75059550"]},{"raw_affiliation_string":"Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 314423, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045983324","display_name":"Ancha Xu","orcid":"https://orcid.org/0000-0003-3289-2720"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ancha Xu","raw_affiliation_strings":["Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 314423, China","Department of Statistics, Zhejiang Gongshang University, Hangzhou 314423, China"],"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 314423, China","institution_ids":["https://openalex.org/I75059550"]},{"raw_affiliation_string":"Department of Statistics, Zhejiang Gongshang University, Hangzhou 314423, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057828723","display_name":"Liuting An","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuting An","raw_affiliation_strings":["Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 314423, China","Department of Statistics, Zhejiang Gongshang University, Hangzhou 314423, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Zhejiang Gongshang University, Hangzhou 314423, China","institution_ids":["https://openalex.org/I75059550"]},{"raw_affiliation_string":"Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 314423, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400692","display_name":"Min Li","orcid":"https://orcid.org/0000-0001-5518-0908"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 314423, China","Department of Statistics, Zhejiang Gongshang University, Hangzhou 314423, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Zhejiang Gongshang University, Hangzhou 314423, China","institution_ids":["https://openalex.org/I75059550"]},{"raw_affiliation_string":"Collaborative Innovation Center of Statistical Data Engineering, Technology & Application, Zhejiang Gongshang University, Hangzhou 314423, China","institution_ids":["https://openalex.org/I75059550"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045983324"],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732,"provenance":"doaj"},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732,"provenance":"doaj"},"fwci":6.762,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":27,"citation_normalized_percentile":{"value":0.999784,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"10","issue":"6","first_page":"196","last_page":"196"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9998,"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":0.9998,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9917,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9913,"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/gibbs-sampling","display_name":"Gibbs sampling","score":0.5666706},{"id":"https://openalex.org/keywords/exponentiated-weibull-distribution","display_name":"Exponentiated Weibull distribution","score":0.44780645}],"concepts":[{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.7821889},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.70974535},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.5666706},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5185102},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.50811076},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.505097},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4930403},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.47268087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46712762},{"id":"https://openalex.org/C95770405","wikidata":"https://www.wikidata.org/wiki/Q5421539","display_name":"Exponentiated Weibull distribution","level":3,"score":0.44780645},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.43629622},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.4322389},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4184212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39399555},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10060196","pdf_url":"https://www.mdpi.com/2079-8954/10/6/196/pdf?version=1667294730","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/c116c11dfbf04e3f8b11006db8f6b074","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10060196","pdf_url":"https://www.mdpi.com/2079-8954/10/6/196/pdf?version=1667294730","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.49,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":31,"referenced_works":["https://openalex.org/W1510867316","https://openalex.org/W1968645840","https://openalex.org/W1976174534","https://openalex.org/W2019640473","https://openalex.org/W2025391286","https://openalex.org/W2059881820","https://openalex.org/W2067349112","https://openalex.org/W2072430699","https://openalex.org/W2092620658","https://openalex.org/W2103352720","https://openalex.org/W2111669074","https://openalex.org/W2143465041","https://openalex.org/W2148534890","https://openalex.org/W2174051306","https://openalex.org/W2294927938","https://openalex.org/W2309478052","https://openalex.org/W2322713878","https://openalex.org/W2332090442","https://openalex.org/W2515364790","https://openalex.org/W2748857090","https://openalex.org/W2754352628","https://openalex.org/W2803221082","https://openalex.org/W2964309416","https://openalex.org/W3000561553","https://openalex.org/W3006157527","https://openalex.org/W3007116891","https://openalex.org/W3016917126","https://openalex.org/W3134385088","https://openalex.org/W3211265568","https://openalex.org/W3214043349","https://openalex.org/W612010249"],"related_works":["https://openalex.org/W91629956","https://openalex.org/W3139234456","https://openalex.org/W3083898685","https://openalex.org/W2966939160","https://openalex.org/W2939504033","https://openalex.org/W2184010448","https://openalex.org/W2090965550","https://openalex.org/W2039528850","https://openalex.org/W2035890266","https://openalex.org/W1525778882"],"abstract_inverted_index":{"Industrial":[0],"systems":[1],"often":[2],"have":[3],"redundant":[4,22],"structures":[5],"for":[6,34],"improving":[7],"reliability":[8,32],"and":[9,13,57,93,119,142],"avoiding":[10],"sudden":[11],"failures,":[12],"a":[14,35,62,87,116],"parallel":[15,36,52],"system":[16,37,53,108],"is":[17,42,45,71,91,99,113],"one":[18,39],"of":[19,31,83,106,136],"the":[20,29,47,68,75,80,84,95,103,107,129],"special":[21],"systems.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"consider":[28],"problem":[30],"estimation":[33,105],"when":[38],"stress":[40,69],"variable":[41,70],"involved,":[43],"which":[44],"called":[46],"multicomponent":[48],"stress-strength":[49],"model.":[50],"The":[51,110,124],"contains":[54],"two":[55],"components,":[56],"their":[58],"joint":[59],"lifetime":[60],"follows":[61],"Marshall\u2013Olkin":[63],"bivariate":[64],"Weibull":[65,76],"distribution,":[66],"while":[67],"assumed":[72],"to":[73,79,101],"be":[74],"distribution.":[77],"Due":[78],"complicated":[81],"form":[82],"likelihood":[85],"function,":[86],"data":[88],"augmentation":[89],"method":[90,112,131],"proposed,":[92],"then":[94],"Gibbs":[96],"sampling":[97],"algorithm":[98],"constructed":[100],"obtain":[102],"Bayesian":[104],"reliability.":[109],"proposed":[111,130],"evaluated":[114],"by":[115],"simulated":[117],"dataset":[118],"Monte":[120],"Carlo":[121],"simulation":[122,125],"study.":[123],"results":[126],"show":[127],"that":[128],"performs":[132],"well":[133],"in":[134],"terms":[135],"relative":[137],"bias,":[138],"mean":[139],"squared":[140],"error":[141],"frequentist":[143],"coverage":[144],"probability.":[145]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4307171404","counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":7}],"updated_date":"2025-01-01T19:22:39.802030","created_date":"2022-10-29"}