{"id":"https://openalex.org/W290247156","doi":"https://doi.org/10.1080/03610919108812955","title":"Estimation for two-way analysis of variance with correlated errors","display_name":"Estimation for two-way analysis of variance with correlated errors","publication_year":1991,"publication_date":"1991-01-01","ids":{"openalex":"https://openalex.org/W290247156","doi":"https://doi.org/10.1080/03610919108812955","mag":"290247156"},"language":"en","primary_location":{"id":"doi:10.1080/03610919108812955","doi":"https://doi.org/10.1080/03610919108812955","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610919108812955","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,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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"},"volume":null,"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/A5007732833","display_name":"Alasford Ngwengwe","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alasford M Ngwengwe","raw_affiliation_strings":["a  Biometrics Unit and Statistics Center Cornell University ,  Ithaca ,  New York ,  14853 ,  U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"a  Biometrics Unit and Statistics Center Cornell University ,  Ithaca ,  New York ,  14853 ,  U.S.A","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009449264","display_name":"Charles E. McCulloch","orcid":"https://orcid.org/0000-0002-1279-6179","observed_orcids":["https://orcid.org/0000-0002-1279-6179"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles E mcculloch","raw_affiliation_strings":["a  Biometrics Unit and Statistics Center Cornell University ,  Ithaca ,  New York ,  14853 ,  U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"a  Biometrics Unit and Statistics Center Cornell University ,  Ithaca ,  New York ,  14853 ,  U.S.A","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.5028,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5996724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":"325","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.31690001487731934,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.31690001487731934,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.19699999690055847,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.15360000729560852,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/two-way-analysis-of-variance","display_name":"two-way analysis of variance","score":0.9950000047683716},{"id":"https://openalex.org/keywords/correlated-errors","display_name":"correlated errors","score":0.9890000224113464},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"heteroscedasticity","score":0.8090000152587891},{"id":"https://openalex.org/keywords/maximum-likelihood-estimator","display_name":"maximum likelihood estimator","score":0.6129999756813049},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"correlation coefficient","score":0.6949999928474426},{"id":"https://openalex.org/keywords/distribution-of-estimators","display_name":"distribution of estimators","score":0.7009999752044678}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7021821141242981},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6799736022949219},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6529233455657959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5742093920707703},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5160736441612244},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4895092248916626},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4881518483161926},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4195195138454437},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11528944969177246},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610919108812955","doi":"https://doi.org/10.1080/03610919108812955","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610919108812955","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,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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"},{"id":"mag:290247156","doi":null,"is_oa":false,"landing_page_url":"https://dialnet.unirioja.es/servlet/articulo?codigo=4944314","pdf_url":null,"source":{"id":"https://openalex.org/S13624874","display_name":"Quality Engineering","issn_l":"0898-2112","issn":["0898-2112","1532-4222"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Quality Engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.44999998807907104}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2020737422","https://openalex.org/W2032581338","https://openalex.org/W2046009593","https://openalex.org/W2049380243","https://openalex.org/W2055054978","https://openalex.org/W2055134283","https://openalex.org/W2067695507","https://openalex.org/W2068699019","https://openalex.org/W2088918631","https://openalex.org/W2315143454","https://openalex.org/W2334009261"],"related_works":["https://openalex.org/W2055134283","https://openalex.org/W2981767897","https://openalex.org/W83395389","https://openalex.org/W2491184401","https://openalex.org/W2145738059","https://openalex.org/W7015417126","https://openalex.org/W2313173605","https://openalex.org/W1976201998","https://openalex.org/W629992689","https://openalex.org/W1989168352"],"abstract_inverted_index":{"We":[0],"consider":[1],"some":[2],"estimation":[3],"and":[4,27,40,46],"distribution":[5,47],"problems":[6],"encountered":[7],"in":[8,24],"a":[9],"two":[10],"way":[11],"analysis":[12],"of":[13,44,48,53],"variance":[14],"model":[15],"with":[16],"only":[17],"one":[18,25],"observation":[19],"per":[20],"cell,":[21],"errors":[22],"correlated":[23],"level,":[26],"the":[28,38,49,54],"variances":[29],"are":[30,57],"not":[31],"necessarily":[32],"equal.":[33],"The":[34],"independence":[35],"criteria":[36],"for":[37],"row":[39],"interaction":[41],"mean":[42],"sum":[43],"squares":[45],"maximum":[50],"likelihood":[51],"estimator":[52],"correlation":[55],"coefficient":[56],"given.":[58]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}