{"id":"https://openalex.org/W2047169659","doi":"https://doi.org/10.1198/004017004000000103","title":"One-Sided Tolerance Limits in Balanced and Unbalanced One-Way Random Models Based on Generalized Confidence Intervals","display_name":"One-Sided Tolerance Limits in Balanced and Unbalanced One-Way Random Models Based on Generalized Confidence Intervals","publication_year":2004,"publication_date":"2004-02-01","ids":{"openalex":"https://openalex.org/W2047169659","doi":"https://doi.org/10.1198/004017004000000103","mag":"2047169659"},"language":"en","primary_location":{"id":"doi:10.1198/004017004000000103","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017004000000103","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","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":"K Krishnamoorthy","raw_affiliation_strings":["Department of Mathematics, University of Louisiana at Lafayette, Lafayette, LA 70504","University of Louisiana at Lafayette#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Louisiana at Lafayette, Lafayette, LA 70504","institution_ids":["https://openalex.org/I79516672"]},{"raw_affiliation_string":"University of Louisiana at Lafayette#TAB#","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033429305","display_name":"Thomas Mathew","orcid":"https://orcid.org/0000-0003-4152-3628"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Mathew","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Maryland, Baltimore, MD 21250","\u00a0 University of Maryland, Baltimore County"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Maryland, Baltimore, MD 21250","institution_ids":["https://openalex.org/I126744593"]},{"raw_affiliation_string":"\u00a0 University of Maryland, Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]}],"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":5.9199,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.96602241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"46","issue":"1","first_page":"44","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9804999828338623,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9804999828338623,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9735999703407288,"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/unobservable","display_name":"Unobservable","score":0.9455913305282593},{"id":"https://openalex.org/keywords/tolerance-interval","display_name":"Tolerance interval","score":0.6743780970573425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6294229626655579},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.6251563429832458},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5949293375015259},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.5628657937049866},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49210256338119507},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.45926252007484436},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4458841383457184},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.44044554233551025},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3589615821838379},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.2938460111618042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22866931557655334},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.066948801279068}],"concepts":[{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.9455913305282593},{"id":"https://openalex.org/C10590107","wikidata":"https://www.wikidata.org/wiki/Q7814221","display_name":"Tolerance interval","level":3,"score":0.6743780970573425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6294229626655579},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.6251563429832458},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5949293375015259},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.5628657937049866},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49210256338119507},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.45926252007484436},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4458841383457184},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.44044554233551025},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3589615821838379},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2938460111618042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22866931557655334},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.066948801279068},{"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":1,"locations":[{"id":"doi:10.1198/004017004000000103","is_oa":false,"landing_page_url":"https://doi.org/10.1198/004017004000000103","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337382","display_name":"National Institute for Occupational Safety and Health","ror":"https://ror.org/0502a2655"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969584488","https://openalex.org/W1993576708","https://openalex.org/W1993674012","https://openalex.org/W1994336835","https://openalex.org/W2005046208","https://openalex.org/W2063265279","https://openalex.org/W2073148212","https://openalex.org/W2073683561","https://openalex.org/W2087673202","https://openalex.org/W2150721697","https://openalex.org/W2318743392","https://openalex.org/W2320017766","https://openalex.org/W2489417898","https://openalex.org/W2558979643","https://openalex.org/W2795715192","https://openalex.org/W4231594454","https://openalex.org/W4239638421","https://openalex.org/W4248781598","https://openalex.org/W4250480198","https://openalex.org/W4253805830"],"related_works":["https://openalex.org/W2614563012","https://openalex.org/W4293337373","https://openalex.org/W2008534419","https://openalex.org/W993532209","https://openalex.org/W2741602769","https://openalex.org/W2079877197","https://openalex.org/W1578306890","https://openalex.org/W4384915695","https://openalex.org/W2065742713","https://openalex.org/W1975162694"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,10,22,31,37,44,49,59,71,86],"problem":[3],"of":[4,33,61],"deriving":[5],"one-sided":[6],"tolerance":[7,54,72,88],"intervals":[8,35],"in":[9,48],"one-way":[11,50],"random":[12,39,46,51],"model":[13],"with":[14,30],"balanced":[15],"as":[16,18,41,43],"well":[17,42],"unbalanced":[19],"data,":[20],"under":[21],"usual":[23],"normality":[24],"assumptions.":[25],"The":[26,53,81],"problems":[27],"investigated":[28,78],"deal":[29],"computation":[32],"such":[34],"for":[36,70,93],"observable":[38],"variable,":[40],"unobservable":[45],"effect":[47],"model.":[52],"limits":[55,89],"are":[56,68,90],"derived":[57,69],"using":[58],"concept":[60],"a":[62],"generalized":[63],"confidence":[64],"interval.":[65],"Some":[66],"approximations":[67],"limits,":[73],"and":[74],"their":[75],"performance":[76],"is":[77],"by":[79],"simulation.":[80],"simulation":[82],"results":[83],"show":[84],"that":[85],"proposed":[87],"quite":[91],"satisfactory":[92],"practical":[94],"use.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}