{"id":"https://openalex.org/W2914243263","doi":"https://doi.org/10.1080/03610918.2019.1568473","title":"Selection of the best minimal repair systems for Weibull lifetime distribution: A Bayesian approach","display_name":"Selection of the best minimal repair systems for Weibull lifetime distribution: A Bayesian approach","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2914243263","doi":"https://doi.org/10.1080/03610918.2019.1568473","mag":"2914243263"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1568473","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1568473","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5009797767","display_name":"Morteza Amini","orcid":"https://orcid.org/0000-0003-4602-9653"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]},{"id":"https://openalex.org/I4210116091","display_name":"Department of Physics, Mathematics and Informatics","ror":"https://ror.org/023sm4k53","country_code":"BY","type":"facility","lineage":["https://openalex.org/I151823869","https://openalex.org/I4210116091"]}],"countries":["BY","IR"],"is_corresponding":true,"raw_author_name":"Morteza Amini","raw_affiliation_strings":["Department of Statistics, School of Mathematics Statistics and Computer Science, College of Science, University of Tehran","Department of Statistics, School of Mathematics Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, School of Mathematics Statistics and Computer Science, College of Science, University of Tehran","institution_ids":["https://openalex.org/I23946033","https://openalex.org/I4210116091"]},{"raw_affiliation_string":"Department of Statistics, School of Mathematics Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009797767"],"corresponding_institution_ids":["https://openalex.org/I23946033","https://openalex.org/I4210116091"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01509485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"3","first_page":"832","last_page":"853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9994000196456909,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9994000196456909,"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":0.9973000288009644,"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":0.9962000250816345,"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/weibull-distribution","display_name":"Weibull distribution","score":0.8806935548782349},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6649041771888733},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6005635857582092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48070818185806274},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4679504930973053},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4122237265110016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34022849798202515},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2748960554599762},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23237308859825134}],"concepts":[{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.8806935548782349},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6649041771888733},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6005635857582092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48070818185806274},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4679504930973053},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4122237265110016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34022849798202515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2748960554599762},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23237308859825134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1568473","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1568473","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1954285478","display_name":null,"funder_award_id":"94806181","funder_id":"https://openalex.org/F4320322243","funder_display_name":"Iran National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322243","display_name":"Iran National Science Foundation","ror":"https://ror.org/03sr1ma14"},{"id":"https://openalex.org/F4320324232","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W22900076","https://openalex.org/W340942236","https://openalex.org/W588132785","https://openalex.org/W1594663860","https://openalex.org/W1965288387","https://openalex.org/W1977087620","https://openalex.org/W1985918598","https://openalex.org/W2001867654","https://openalex.org/W2001891933","https://openalex.org/W2027073833","https://openalex.org/W2030554666","https://openalex.org/W2033483805","https://openalex.org/W2033734624","https://openalex.org/W2037683394","https://openalex.org/W2037728958","https://openalex.org/W2052368823","https://openalex.org/W2052777907","https://openalex.org/W2053533729","https://openalex.org/W2061303007","https://openalex.org/W2073521580","https://openalex.org/W2074229709","https://openalex.org/W2075373047","https://openalex.org/W2086353609","https://openalex.org/W2109281751","https://openalex.org/W2109533003","https://openalex.org/W2109993473","https://openalex.org/W2115695828","https://openalex.org/W2120226538","https://openalex.org/W2125697860","https://openalex.org/W2132642439","https://openalex.org/W2134759675","https://openalex.org/W2135243999","https://openalex.org/W2137611809","https://openalex.org/W2145287872","https://openalex.org/W2151382649","https://openalex.org/W2163308966","https://openalex.org/W2319408804","https://openalex.org/W2503485756","https://openalex.org/W2517882639","https://openalex.org/W2797813224","https://openalex.org/W2952923558","https://openalex.org/W4205518671","https://openalex.org/W4210332662","https://openalex.org/W4233423080","https://openalex.org/W4238284345","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3083898685","https://openalex.org/W1973754976","https://openalex.org/W189075692","https://openalex.org/W4220847856","https://openalex.org/W4220801072","https://openalex.org/W2328223263","https://openalex.org/W2374817159","https://openalex.org/W4220691425","https://openalex.org/W2009404102","https://openalex.org/W4360908782"],"abstract_inverted_index":{"The":[0,38,49,77,94],"selection":[1,25,92],"of":[2,9,32,40,86,110],"the":[3,41,53,64,67,71,74,84,87,111],"\u2018best\u2019":[4,10],"system":[5],"and":[6,22,66,73,89,103],"a":[7,100,106],"subset":[8],"systems":[11,15,42],"among":[12],"k":[13],"repairable":[14],"(k\u22652)":[16],"is":[17,28,81],"considered,":[18],"based":[19],"on":[20,105],"Bayesian":[21,88],"Empirical":[23,90],"Bayes":[24,91],"rules.":[26,93],"\u2018Best\u2019":[27],"determined":[29],"in":[30],"terms":[31],"highest":[33],"reliability":[34,65],"or":[35],"lowest":[36],"risk.":[37],"lifetimes":[39],"are":[43,57,97],"assumed":[44],"to":[45,52],"be":[46],"Weibull":[47,54],"distributed.":[48],"priors":[50,61],"assigned":[51],"distributions\u2019":[55],"parameters":[56],"induced":[58],"from":[59],"standard":[60],"used":[62,82],"for":[63,83],"hazard":[68],"rate,":[69],"i.e.":[70],"negative-log-gamma":[72],"gamma,":[75],"respectively.":[76],"component-wise":[78],"Metropolis-Hastings":[79],"algorithm":[80],"computation":[85],"proposed":[95],"approaches":[96],"illustrated":[98],"via":[99],"simulation":[101],"study":[102],"applied":[104],"classical":[107],"data":[108],"set":[109],"literature.":[112]},"counts_by_year":[],"updated_date":"2026-02-08T09:19:03.324500","created_date":"2025-10-10T00:00:00"}