{"id":"https://openalex.org/W2043967715","doi":"https://doi.org/10.1093/biomet/68.2.471","title":"Estimation of location difference for fragmentary samples","display_name":"Estimation of location difference for fragmentary samples","publication_year":1981,"publication_date":"1981-01-01","ids":{"openalex":"https://openalex.org/W2043967715","doi":"https://doi.org/10.1093/biomet/68.2.471","mag":"2043967715"},"language":"en","primary_location":{"id":"doi:10.1093/biomet/68.2.471","doi":"https://doi.org/10.1093/biomet/68.2.471","is_oa":false,"landing_page_url":"https://doi.org/10.1093/biomet/68.2.471","pdf_url":null,"source":{"id":"https://openalex.org/S172180718","display_name":"Biometrika","issn_l":"0006-3444","issn":["0006-3444","1464-3510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","cwts-core","doyens","jufo-3","ki-jl-2","norway-2"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biometrika","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/A5043594157","display_name":"L. J. Wei","orcid":"https://orcid.org/0000-0002-8582-920X","observed_orcids":["https://orcid.org/0000-0002-8582-920X"]},"institutions":[{"id":"https://openalex.org/I4210140884","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210140884"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"L. J. WEI","raw_affiliation_strings":["National Cancer Institute Bethesda, Maryland","National Cancer InstituteBethesda, Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cancer Institute Bethesda, Maryland","institution_ids":["https://openalex.org/I4210140884"]},{"raw_affiliation_string":"National Cancer InstituteBethesda, Maryland","institution_ids":["https://openalex.org/I4210140884"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043594157"],"corresponding_institution_ids":["https://openalex.org/I4210140884"],"apc_list":{"value":2724,"currency":"GBP","value_usd":3592},"apc_paid":null,"fwci":0.9902,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76028584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"68","issue":"2","first_page":"471","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9297000169754028,"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":0.9297000169754028,"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":0.025800000876188278,"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":0.014600000344216824,"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/missing-data","display_name":"missing data","score":0.7419999837875366},{"id":"https://openalex.org/keywords/robust-estimators","display_name":"robust estimators","score":0.8650000095367432},{"id":"https://openalex.org/keywords/asymptotic-normality","display_name":"asymptotic normality","score":0.7580000162124634},{"id":"https://openalex.org/keywords/consistency","display_name":"consistency","score":0.9480000138282776},{"id":"https://openalex.org/keywords/outliers","display_name":"outliers","score":0.6460000276565552},{"id":"https://openalex.org/keywords/asymptotic-relative-efficiency","display_name":"asymptotic relative efficiency","score":0.9769999980926514},{"id":"https://openalex.org/keywords/correlated-variables","display_name":"correlated variables","score":0.8230000138282776}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.9096996784210205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.8919491767883301},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5901415348052979},{"id":"https://openalex.org/C17648541","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficiency","level":3,"score":0.4974041283130646},{"id":"https://openalex.org/C143791395","wikidata":"https://www.wikidata.org/wiki/Q475208","display_name":"M-estimator","level":3,"score":0.4775022864341736},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4704738259315491},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46972405910491943},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3731333613395691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08633971214294434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.08013418316841125},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1093/biomet/68.2.471","doi":"https://doi.org/10.1093/biomet/68.2.471","is_oa":false,"landing_page_url":"https://doi.org/10.1093/biomet/68.2.471","pdf_url":null,"source":{"id":"https://openalex.org/S172180718","display_name":"Biometrika","issn_l":"0006-3444","issn":["0006-3444","1464-3510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","cwts-core","doyens","jufo-3","ki-jl-2","norway-2"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biometrika","raw_type":"journal-article"},{"id":"pmh:ADA095869","doi":null,"is_oa":false,"landing_page_url":"http://oai.dtic.mil/oai/oai?&amp;verb=getRecord&amp;metadataPrefix=html&amp;identifier=ADA095869","pdf_url":null,"source":{"id":"https://openalex.org/S4406923043","display_name":"Defense Technical Information Center (DTIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DTIC AND NTIS","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1580334350","https://openalex.org/W1972019717","https://openalex.org/W1974128703","https://openalex.org/W1978974464","https://openalex.org/W2000296836","https://openalex.org/W2013171092","https://openalex.org/W2019549276","https://openalex.org/W2020917893","https://openalex.org/W2062871185","https://openalex.org/W2063067495","https://openalex.org/W2068206728","https://openalex.org/W2114668360","https://openalex.org/W2158114082","https://openalex.org/W2795948675","https://openalex.org/W2797177778"],"related_works":["https://openalex.org/W12718967","https://openalex.org/W2099714340","https://openalex.org/W1596316704","https://openalex.org/W3162751582","https://openalex.org/W2018051649","https://openalex.org/W1996044351","https://openalex.org/W2027980101","https://openalex.org/W3049329888","https://openalex.org/W4388574187","https://openalex.org/W2547762380"],"abstract_inverted_index":{"A":[0],"class":[1],"of":[2,7,13,23,57],"simple":[3],"and":[4,38],"robust":[5],"estimators":[6,32,50],"the":[8,24,55,58],"difference":[9],"between":[10],"location":[11],"parameters":[12],"correlated":[14],"variables":[15,25],"is":[16],"proposed":[17,59],"when":[18],"some":[19],"observations":[20],"on":[21],"either":[22],"are":[26,33,51],"missing.":[27],"We":[28],"show":[29,54],"that":[30],"these":[31],"consistent,":[34],"asymptotically":[35],"normally":[36],"distributed,":[37],"insensitive":[39],"to":[40,53],"outlying":[41],"observations.":[42],"Asymptotic":[43],"relative":[44],"efficiency":[45],"comparisons":[46],"with":[47],"other":[48],"known":[49],"made":[52],"advantage":[56],"estimators.":[60]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
