{"id":"https://openalex.org/W2020606265","doi":"https://doi.org/10.1080/00401706.1974.10489214","title":"The 0-Blue Estimators for Complete and Censored Samples in Linear Regression","display_name":"The 0-Blue Estimators for Complete and Censored Samples in Linear Regression","publication_year":1974,"publication_date":"1974-08-01","ids":{"openalex":"https://openalex.org/W2020606265","doi":"https://doi.org/10.1080/00401706.1974.10489214","mag":"2020606265"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.1974.10489214","doi":"https://doi.org/10.1080/00401706.1974.10489214","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1974.10489214","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,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-2","norway-2","poland-140","russia-white-list-1","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":"Technometrics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5009285547","display_name":"Effat Moussa-Hamouda","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Effat Moussa-Hamouda","raw_affiliation_strings":["The University of Iowa, Iowa City, IA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009652903","display_name":"Fred C. Leone","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred C. Leone","raw_affiliation_strings":["The University of Iowa, Iowa City, IA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":1.9931,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84108671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"16","issue":"3","first_page":"441","last_page":"441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.5547000169754028,"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":0.5547000169754028,"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":0.17299999296665192,"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":0.17270000278949738,"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/best-linear-unbiased-estimator","display_name":"best linear unbiased estimator","score":0.8090000152587891},{"id":"https://openalex.org/keywords/simple-linear-regression","display_name":"simple linear regression","score":0.7170000076293945},{"id":"https://openalex.org/keywords/censored-samples","display_name":"censored samples","score":0.9520000219345093},{"id":"https://openalex.org/keywords/complete-samples","display_name":"complete samples","score":0.9169999957084656},{"id":"https://openalex.org/keywords/normal-errors","display_name":"normal errors","score":0.5139999985694885},{"id":"https://openalex.org/keywords/variance-of-estimators","display_name":"estimator variance","score":0.8880000114440918},{"id":"https://openalex.org/keywords/relative-efficiency","display_name":"relative efficiency","score":0.847000002861023},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.3409999907016754}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8056567907333374},{"id":"https://openalex.org/C103545067","wikidata":"https://www.wikidata.org/wiki/Q796265","display_name":"Best linear unbiased prediction","level":3,"score":0.7231676578521729},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6877542734146118},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6799066066741943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6643767952919006},{"id":"https://openalex.org/C97379794","wikidata":"https://www.wikidata.org/wiki/Q4503892","display_name":"Censored regression model","level":3,"score":0.5579113960266113},{"id":"https://openalex.org/C149769383","wikidata":"https://www.wikidata.org/wiki/Q7520804","display_name":"Simple linear regression","level":3,"score":0.5245887637138367},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45967864990234375},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4584057629108429},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.45393478870391846},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.42876169085502625},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33822184801101685},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.2908461093902588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20347744226455688},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00401706.1974.10489214","doi":"https://doi.org/10.1080/00401706.1974.10489214","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1974.10489214","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,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-2","norway-2","poland-140","russia-white-list-1","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":"Technometrics","raw_type":"journal-article"},{"id":"doi:10.2307/1267675","doi":"https://doi.org/10.2307/1267675","is_oa":false,"landing_page_url":"https://doi.org/10.2307/1267675","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,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-2","norway-2","poland-140","russia-white-list-1","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":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W360368647","https://openalex.org/W2013334117","https://openalex.org/W3150977923"],"related_works":["https://openalex.org/W2089682771","https://openalex.org/W4235349650","https://openalex.org/W4254897642","https://openalex.org/W2119093698","https://openalex.org/W7099966608","https://openalex.org/W2273988126","https://openalex.org/W2080988054","https://openalex.org/W4250701236","https://openalex.org/W2241769629","https://openalex.org/W2564597538"],"abstract_inverted_index":{"The":[0,25],"best":[1],"linear":[2,15],"unbiased":[3],"estimators":[4,45],"of":[5,12,37,42],"the":[6,13,29,38,43,49],"parameters":[7],"\u03b1,":[8],"\u03b2":[9],"and":[10,22,40],"\u03c3":[11],"simple":[14],"regression":[16],"model":[17],"are":[18,31,46,54,65],"given":[19,47],"for":[20,48],"complete":[21],"censored":[23],"samples.":[24],"special":[26],"case":[27],"where":[28],"errors":[30],"normally":[32],"distributed":[33],"is":[34,60],"considered.":[35],"Tables":[36],"coefficients":[39],"variances":[41],"\u2018O-BLUE\u2019":[44],"normal":[50],"distributions.":[51],"Other":[52],"distributions":[53],"available.":[55],"A":[56],"practical":[57],"numerical":[58],"problem":[59],"discussed.":[61],"Certain":[62],"relative":[63],"efficiencies":[64],"given.":[66]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}