{"id":"https://openalex.org/W2560898946","doi":"https://doi.org/10.1080/03610918.2015.1082587","title":"Comparison of confidence intervals for the Behrens-Fisher problem","display_name":"Comparison of confidence intervals for the Behrens-Fisher problem","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2560898946","doi":"https://doi.org/10.1080/03610918.2015.1082587","mag":"2560898946"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1082587","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1082587","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/A5101998344","display_name":"Ahmet Sezer","orcid":"https://orcid.org/0000-0002-5962-4999"},"institutions":[{"id":"https://openalex.org/I4210091745","display_name":"Eski\u015fehir City Hospital","ror":"https://ror.org/00czdkn85","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I1303077703","https://openalex.org/I4210091745"]},{"id":"https://openalex.org/I133743585","display_name":"Anadolu University","ror":"https://ror.org/05nz37n09","country_code":"TR","type":"education","lineage":["https://openalex.org/I133743585"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ahmet Sezer","raw_affiliation_strings":["Department of Statistics, Science Faculty, Anadolu University, Eski\u015fehir, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Science Faculty, Anadolu University, Eski\u015fehir, Turkey","institution_ids":["https://openalex.org/I133743585","https://openalex.org/I4210091745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084813095","display_name":"Evren \u00d6zkip","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091745","display_name":"Eski\u015fehir City Hospital","ror":"https://ror.org/00czdkn85","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I1303077703","https://openalex.org/I4210091745"]},{"id":"https://openalex.org/I133743585","display_name":"Anadolu University","ror":"https://ror.org/05nz37n09","country_code":"TR","type":"education","lineage":["https://openalex.org/I133743585"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Evren Ozkip","raw_affiliation_strings":["Department of Statistics, Science Faculty, Anadolu University, Eski\u015fehir, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Science Faculty, Anadolu University, Eski\u015fehir, Turkey","institution_ids":["https://openalex.org/I133743585","https://openalex.org/I4210091745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073288644","display_name":"Berna Yaz\u0131c\u0131","orcid":"https://orcid.org/0000-0001-9843-7355"},"institutions":[{"id":"https://openalex.org/I4210091745","display_name":"Eski\u015fehir City Hospital","ror":"https://ror.org/00czdkn85","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I1303077703","https://openalex.org/I4210091745"]},{"id":"https://openalex.org/I133743585","display_name":"Anadolu University","ror":"https://ror.org/05nz37n09","country_code":"TR","type":"education","lineage":["https://openalex.org/I133743585"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Berna Yazici","raw_affiliation_strings":["Department of Statistics, Science Faculty, Anadolu University, Eski\u015fehir, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Science Faculty, Anadolu University, Eski\u015fehir, Turkey","institution_ids":["https://openalex.org/I133743585","https://openalex.org/I4210091745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073288644"],"corresponding_institution_ids":["https://openalex.org/I133743585","https://openalex.org/I4210091745"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79579556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"46","issue":"4","first_page":"3242","last_page":"3266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994999766349792,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9987999796867371,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9987000226974487,"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/confidence-interval","display_name":"Confidence interval","score":0.7890724539756775},{"id":"https://openalex.org/keywords/bonferroni-correction","display_name":"Bonferroni correction","score":0.7778562307357788},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.7604643106460571},{"id":"https://openalex.org/keywords/cdf-based-nonparametric-confidence-interval","display_name":"CDF-based nonparametric confidence interval","score":0.7442361116409302},{"id":"https://openalex.org/keywords/robust-confidence-intervals","display_name":"Robust confidence intervals","score":0.6685587167739868},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6593974232673645},{"id":"https://openalex.org/keywords/confidence-distribution","display_name":"Confidence distribution","score":0.6224113702774048},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.5169479250907898},{"id":"https://openalex.org/keywords/population-variance","display_name":"Population variance","score":0.49839115142822266},{"id":"https://openalex.org/keywords/credible-interval","display_name":"Credible interval","score":0.48972728848457336},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48050153255462646},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4593297839164734},{"id":"https://openalex.org/keywords/confidence-region","display_name":"Confidence region","score":0.4354829788208008},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4089374840259552},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.13164061307907104}],"concepts":[{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.7890724539756775},{"id":"https://openalex.org/C127808970","wikidata":"https://www.wikidata.org/wiki/Q385989","display_name":"Bonferroni correction","level":2,"score":0.7778562307357788},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7604643106460571},{"id":"https://openalex.org/C42468098","wikidata":"https://www.wikidata.org/wiki/Q5009921","display_name":"CDF-based nonparametric confidence interval","level":3,"score":0.7442361116409302},{"id":"https://openalex.org/C66520545","wikidata":"https://www.wikidata.org/wiki/Q7353538","display_name":"Robust confidence intervals","level":3,"score":0.6685587167739868},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6593974232673645},{"id":"https://openalex.org/C13662513","wikidata":"https://www.wikidata.org/wiki/Q5160087","display_name":"Confidence distribution","level":3,"score":0.6224113702774048},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.5169479250907898},{"id":"https://openalex.org/C2985420695","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Population variance","level":3,"score":0.49839115142822266},{"id":"https://openalex.org/C121117317","wikidata":"https://www.wikidata.org/wiki/Q4439221","display_name":"Credible interval","level":3,"score":0.48972728848457336},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48050153255462646},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4593297839164734},{"id":"https://openalex.org/C143380155","wikidata":"https://www.wikidata.org/wiki/Q5160088","display_name":"Confidence region","level":3,"score":0.4354829788208008},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4089374840259552},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.13164061307907104},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1082587","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1082587","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":[{"id":"https://metadata.un.org/sdg/10","score":0.5799999833106995,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1501605627","https://openalex.org/W1973158119","https://openalex.org/W1973801776","https://openalex.org/W1974999881","https://openalex.org/W1975196057","https://openalex.org/W1980425927","https://openalex.org/W1996399172","https://openalex.org/W2007203763","https://openalex.org/W2015451235","https://openalex.org/W2018288737","https://openalex.org/W2022068970","https://openalex.org/W2031716086","https://openalex.org/W2033011224","https://openalex.org/W2043081086","https://openalex.org/W2044290795","https://openalex.org/W2046383454","https://openalex.org/W2049598407","https://openalex.org/W2056167024","https://openalex.org/W2058400773","https://openalex.org/W2062989416","https://openalex.org/W2067733407","https://openalex.org/W2069185877","https://openalex.org/W2069870615","https://openalex.org/W2074790166","https://openalex.org/W2079180815","https://openalex.org/W2092525721","https://openalex.org/W2093679348","https://openalex.org/W2118267217","https://openalex.org/W2150721697","https://openalex.org/W2316582042","https://openalex.org/W2376504155","https://openalex.org/W2421370445","https://openalex.org/W2795715192","https://openalex.org/W4230651318","https://openalex.org/W4235618618","https://openalex.org/W4238306122","https://openalex.org/W4246113444","https://openalex.org/W4292093645"],"related_works":["https://openalex.org/W2162631808","https://openalex.org/W2160968851","https://openalex.org/W2183054518","https://openalex.org/W2076765275","https://openalex.org/W2032077494","https://openalex.org/W1590833474","https://openalex.org/W3150039345","https://openalex.org/W1501771833","https://openalex.org/W2991245453","https://openalex.org/W913292429"],"abstract_inverted_index":{"The":[0],"Behrens\u2013Fisher":[1,39],"problem":[2],"concerns":[3],"the":[4,7,17,38,51,60,91],"inferences":[5],"for":[6,37,50],"difference":[8],"between":[9],"means":[10],"of":[11,19,21,56],"two":[12,97],"independent":[13],"normal":[14],"populations":[15],"without":[16],"assumption":[18],"equality":[20],"variances.":[22],"In":[23],"this":[24],"article,":[25],"we":[26],"compare":[27],"three":[28,52],"approximate":[29],"confidence":[30,35,48,84],"intervals":[31,49],"and":[32,87],"a":[33],"generalized":[34],"interval":[36,85],"problem.":[40],"We":[41,64],"also":[42],"show":[43],"how":[44],"to":[45,70,76,96],"obtain":[46],"simultaneous":[47],"population":[53],"case":[54],"(analysis":[55],"variance,":[57],"ANOVA)":[58],"by":[59],"Bonferroni":[61],"correction":[62],"factor.":[63],"conduct":[65],"an":[66],"extensive":[67],"simulation":[68],"study":[69],"evaluate":[71],"these":[72],"methods":[73,93],"in":[74],"respect":[75],"their":[77],"type":[78],"I":[79],"error":[80],"rate,":[81],"power,":[82],"expected":[83],"width,":[86],"coverage":[88],"probability.":[89],"Finally,":[90],"considered":[92],"are":[94],"applied":[95],"real":[98],"dataset.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}