{"id":"https://openalex.org/W4313405140","doi":"https://doi.org/10.1080/03610918.2022.2157013","title":"A report on the paper \u201cxia cai, feng siman &amp; yan liang (2022): generalized fiducial inference for the lower confidence limit of reliability based on weibull distribution, communications in statistics - simulation and computation, DOI: 10.1080/03610918.2022.2067873\u201d","display_name":"A report on the paper \u201cxia cai, feng siman &amp; yan liang (2022): generalized fiducial inference for the lower confidence limit of reliability based on weibull distribution, communications in statistics - simulation and computation, DOI: 10.1080/03610918.2022.2067873\u201d","publication_year":2022,"publication_date":"2022-12-19","ids":{"openalex":"https://openalex.org/W4313405140","doi":"https://doi.org/10.1080/03610918.2022.2157013"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2157013","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2157013","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/A5070664988","display_name":"K. Krishnamoorthy","orcid":"https://orcid.org/0000-0002-3919-918X"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kalimuthu Krishnamoorthy","raw_affiliation_strings":["Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037216899","display_name":"Shanshan Lv","orcid":"https://orcid.org/0000-0001-5688-7542"},"institutions":[{"id":"https://openalex.org/I199639920","display_name":"Truman State University","ror":"https://ror.org/0396bvs97","country_code":"US","type":"education","lineage":["https://openalex.org/I199639920"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanshan Lv","raw_affiliation_strings":["Department of Statistics, Truman State University, Kirksville, Missouri, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Truman State University, Kirksville, Missouri, USA","institution_ids":["https://openalex.org/I199639920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070664988"],"corresponding_institution_ids":["https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1790222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/weibull-distribution","display_name":"Weibull distribution","score":0.7120067477226257},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6823759078979492},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.632453978061676},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5895656943321228},{"id":"https://openalex.org/keywords/fiducial-marker","display_name":"Fiducial marker","score":0.5787676572799683},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5760061144828796},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5376089811325073},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.5208576321601868},{"id":"https://openalex.org/keywords/fiducial-inference","display_name":"Fiducial inference","score":0.44402509927749634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4360802173614502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40290501713752747},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3460639715194702},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.2392992079257965},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17256462574005127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16033679246902466},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.14740625023841858},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.1348971724510193},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1307375431060791},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.0740414559841156},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06222611665725708}],"concepts":[{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.7120067477226257},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6823759078979492},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.632453978061676},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5895656943321228},{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.5787676572799683},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5760061144828796},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5376089811325073},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5208576321601868},{"id":"https://openalex.org/C95167961","wikidata":"https://www.wikidata.org/wiki/Q4483495","display_name":"Fiducial inference","level":5,"score":0.44402509927749634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4360802173614502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40290501713752747},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3460639715194702},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2392992079257965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17256462574005127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16033679246902466},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.14740625023841858},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.1348971724510193},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1307375431060791},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0740414559841156},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06222611665725708},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2157013","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2157013","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2019044051","https://openalex.org/W2082465891","https://openalex.org/W2112082363","https://openalex.org/W2496216602"],"related_works":["https://openalex.org/W4322760254","https://openalex.org/W2039912667","https://openalex.org/W2329989081","https://openalex.org/W2145181052","https://openalex.org/W2478683457","https://openalex.org/W2913129662","https://openalex.org/W2387848432","https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W2103073163"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
