{"id":"https://openalex.org/W2007362830","doi":"https://doi.org/10.1093/biomet/69.2.473","title":"An Estimator of Location for Dependent Data","display_name":"An Estimator of Location for Dependent Data","publication_year":1982,"publication_date":"1982-01-01","ids":{"openalex":"https://openalex.org/W2007362830","doi":"https://doi.org/10.1093/biomet/69.2.473","mag":"2007362830"},"language":"en","primary_location":{"id":"doi:10.1093/biomet/69.2.473","doi":"https://doi.org/10.1093/biomet/69.2.473","is_oa":false,"landing_page_url":"https://doi.org/10.1093/biomet/69.2.473","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","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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/A5055028468","display_name":"Mete \u015eirvanci","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"METE SIRVANCI","raw_affiliation_strings":["School of Business Administration, University of Wisconsin-Milwaukee Milwaukee, Wisconsin, U.S.A","School of Business Administration, University of Wisconsin-MilwaukeeMilwaukee, Wisconsin, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Administration, University of Wisconsin-Milwaukee Milwaukee, Wisconsin, U.S.A","institution_ids":["https://openalex.org/I43579087"]},{"raw_affiliation_string":"School of Business Administration, University of Wisconsin-MilwaukeeMilwaukee, Wisconsin, U.S.A","institution_ids":["https://openalex.org/I43579087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055028468"],"corresponding_institution_ids":["https://openalex.org/I43579087"],"apc_list":{"value":2724,"currency":"GBP","value_usd":3592},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14882326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"69","issue":"2","first_page":"473","last_page":"473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.79830002784729,"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":0.79830002784729,"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":0.09889999777078629,"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/T13500","display_name":"Probability and Statistical Research","score":0.07259999960660934,"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/location-parameter-estimation","display_name":"location parameter estimation","score":0.7390000224113464},{"id":"https://openalex.org/keywords/correlated-data","display_name":"correlated data","score":0.7570000290870667},{"id":"https://openalex.org/keywords/logistic-distribution","display_name":"logistic distribution","score":0.9079999923706055},{"id":"https://openalex.org/keywords/strongly-mixing-processes","display_name":"strongly mixing processes","score":0.6980000138282776},{"id":"https://openalex.org/keywords/asymptotic-normality","display_name":"asymptotic normality","score":0.953000009059906},{"id":"https://openalex.org/keywords/asymptotic-variance","display_name":"asymptotic variance","score":0.9570000171661377},{"id":"https://openalex.org/keywords/first-order-autoregressive-process","display_name":"first-order autoregressive process","score":0.8050000071525574},{"id":"https://openalex.org/keywords/hodges-lehmann-estimator","display_name":"Hodges-Lehmann estimator","score":0.9509999752044678},{"id":"https://openalex.org/keywords/best-linear-unbiased-estimator","display_name":"best linear unbiased estimator","score":0.8309999704360962},{"id":"https://openalex.org/keywords/sample-mean","display_name":"sample mean","score":0.699999988079071}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.9058722853660583},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7307025194168091},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.7181131839752197},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6343495845794678},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.594744086265564},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.5862103700637817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5810214877128601},{"id":"https://openalex.org/C164172150","wikidata":"https://www.wikidata.org/wiki/Q1782585","display_name":"Consistent estimator","level":4,"score":0.517997145652771},{"id":"https://openalex.org/C35594927","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficient estimator","level":4,"score":0.44187572598457336},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.4388875961303711},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4108380079269409},{"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":2,"locations":[{"id":"doi:10.1093/biomet/69.2.473","doi":"https://doi.org/10.1093/biomet/69.2.473","is_oa":false,"landing_page_url":"https://doi.org/10.1093/biomet/69.2.473","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","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":"doi:10.2307/2335424","doi":"https://doi.org/10.2307/2335424","is_oa":false,"landing_page_url":"https://doi.org/10.2307/2335424","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","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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"}],"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":5,"referenced_works":["https://openalex.org/W1987431866","https://openalex.org/W2060664234","https://openalex.org/W2060900941","https://openalex.org/W2080640988","https://openalex.org/W2148347826"],"related_works":["https://openalex.org/W2349547417","https://openalex.org/W2035998077","https://openalex.org/W4239491110","https://openalex.org/W1984619412","https://openalex.org/W3092888124","https://openalex.org/W2910434125","https://openalex.org/W2356451205","https://openalex.org/W2036535888","https://openalex.org/W2802667153","https://openalex.org/W4387810842"],"abstract_inverted_index":{"Asymptotic":[0],"properties":[1],"of":[2,5,20,45,62,71],"an":[3,10],"estimator":[4,15],"location,":[6],"Jn,":[7],"which":[8,79],"is":[9,30,34,47,67,80],"asymptotically":[11,35,82],"best":[12,83],"linear":[13],"unbiased":[14,84],"for":[16,26,38,53,64,85],"the":[17,21,72,76,86],"location":[18],"parameter":[19],"logistic":[22,87],"distribution,":[23],"are":[24],"studied":[25],"dependent":[27,40,65],"data.":[28,41],"It":[29],"shown":[31],"that":[32,70],"Jn":[33,46,63],"normally":[36],"distributed":[37],"strongly-mixing":[39],"The":[42,60],"asymptotic":[43],"variance":[44],"obtained":[48],"in":[49],"general":[50],"and":[51,75],"computed":[52],"strictly":[54],"stationary":[55],"first-order":[56],"Gaussian":[57],"autoregressive":[58],"processes.":[59],"performance":[61],"data":[66],"compared":[68],"with":[69],"sample":[73],"mean":[74],"Hodges-Lehmann":[77],"estimator,":[78],"also":[81],"distribution.":[88]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}
