{"id":"https://openalex.org/W7133312821","doi":"https://doi.org/10.1016/j.ejor.2026.02.035","title":"Two new types of tolerance intervals for sample variances","display_name":"Two new types of tolerance intervals for sample variances","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133312821","doi":"https://doi.org/10.1016/j.ejor.2026.02.035"},"language":"en","primary_location":{"id":"doi:10.1016/j.ejor.2026.02.035","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ejor.2026.02.035","pdf_url":null,"source":{"id":"https://openalex.org/S103321696","display_name":"European Journal of Operational Research","issn_l":"0377-2217","issn":["0377-2217","1872-6860"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Journal of Operational Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05564060","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122493013","display_name":"Xiaoting Jiang","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":"Xiaoting Jiang","raw_affiliation_strings":["Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University, Hangzhou, China","School of Statistics and Data Science, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-5364-8326","affiliations":[{"raw_affiliation_string":"Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]},{"raw_affiliation_string":"School of Statistics and Data Science, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127939389","display_name":"Philippe Castagliola","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Castagliola","raw_affiliation_strings":["Nantes Universit\u00e9 & LS2N UMR CNRS 6004, Nantes, France"],"raw_orcid":"https://orcid.org/0000-0002-9532-4029","affiliations":[{"raw_affiliation_string":"Nantes Universit\u00e9 & LS2N UMR CNRS 6004, Nantes, France","institution_ids":["https://openalex.org/I97188460","https://openalex.org/I4210117005","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":null,"display_name":"Baocai Guo","orcid":"https://orcid.org/0000-0003-1715-3946"},"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":"Baocai Guo","raw_affiliation_strings":["Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University, Hangzhou, China","School of Statistics and Data Science, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1715-3946","affiliations":[{"raw_affiliation_string":"Economic Forecasting and Policy Simulation Laboratory, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]},{"raw_affiliation_string":"School of Statistics and Data Science, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41689459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"332","issue":"2","first_page":"522","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.12430000305175781,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.12430000305175781,"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.10949999839067459,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.1080000028014183,"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/frequentist-inference","display_name":"Frequentist inference","score":0.6884999871253967},{"id":"https://openalex.org/keywords/tolerance-interval","display_name":"Tolerance interval","score":0.6367999911308289},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6244999766349792},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6097000241279602},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.6069999933242798},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.551800012588501},{"id":"https://openalex.org/keywords/credible-interval","display_name":"Credible interval","score":0.5019999742507935},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.49129998683929443},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4465000033378601}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7229999899864197},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.6884999871253967},{"id":"https://openalex.org/C10590107","wikidata":"https://www.wikidata.org/wiki/Q7814221","display_name":"Tolerance interval","level":3,"score":0.6367999911308289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6294999718666077},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6244999766349792},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6097000241279602},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.6069999933242798},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C121117317","wikidata":"https://www.wikidata.org/wiki/Q4439221","display_name":"Credible interval","level":3,"score":0.5019999742507935},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C181243257","wikidata":"https://www.wikidata.org/wiki/Q1693522","display_name":"Sample mean and sample covariance","level":3,"score":0.35499998927116394},{"id":"https://openalex.org/C2993021520","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Sample variance","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31360000371932983},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.31119999289512634},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C9490382","wikidata":"https://www.wikidata.org/wiki/Q729113","display_name":"Weighted arithmetic mean","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C18747219","wikidata":"https://www.wikidata.org/wiki/Q620994","display_name":"Standard error","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C2780080018","wikidata":"https://www.wikidata.org/wiki/Q2439233","display_name":"Tolerance analysis","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.ejor.2026.02.035","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ejor.2026.02.035","pdf_url":null,"source":{"id":"https://openalex.org/S103321696","display_name":"European Journal of Operational Research","issn_l":"0377-2217","issn":["0377-2217","1872-6860"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Journal of Operational Research","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05564060v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05564060","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"European Journal of Operational Research, 2026, 332 (2), pp.522-541. &#x27E8;10.1016/j.ejor.2026.02.035&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05564060v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05564060","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"European Journal of Operational Research, 2026, 332 (2), pp.522-541. &#x27E8;10.1016/j.ejor.2026.02.035&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320312301","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W15204606","https://openalex.org/W197038110","https://openalex.org/W301800434","https://openalex.org/W1806335600","https://openalex.org/W1970698459","https://openalex.org/W1983728240","https://openalex.org/W1995891803","https://openalex.org/W2002212084","https://openalex.org/W2047870112","https://openalex.org/W2060154237","https://openalex.org/W2060745248","https://openalex.org/W2073326092","https://openalex.org/W2147315108","https://openalex.org/W2164663271","https://openalex.org/W2850076669","https://openalex.org/W2904258669","https://openalex.org/W2920853940","https://openalex.org/W2938348105","https://openalex.org/W2944084748","https://openalex.org/W2964932652","https://openalex.org/W2978519641","https://openalex.org/W3001896288","https://openalex.org/W3025772377","https://openalex.org/W3091114587","https://openalex.org/W3204919717","https://openalex.org/W4246669457","https://openalex.org/W4255486735","https://openalex.org/W4306322296","https://openalex.org/W4310533739","https://openalex.org/W4377140338","https://openalex.org/W4387867973"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2026-03-04T00:00:00"}
