{"id":"https://openalex.org/W2962840847","doi":"https://doi.org/10.1080/09720510.2019.1621488","title":"Novel family of exponential estimators using information of auxiliary attribute","display_name":"Novel family of exponential estimators using information of auxiliary attribute","publication_year":2019,"publication_date":"2019-07-22","ids":{"openalex":"https://openalex.org/W2962840847","doi":"https://doi.org/10.1080/09720510.2019.1621488","mag":"2962840847"},"language":"en","primary_location":{"id":"doi:10.1080/09720510.2019.1621488","doi":"https://doi.org/10.1080/09720510.2019.1621488","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09720510.2019.1621488","pdf_url":null,"source":{"id":"https://openalex.org/S2764706862","display_name":"Journal of Statistics and Management Systems","issn_l":"0972-0510","issn":["0972-0510","2169-0014"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-2"],"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":"Journal of Statistics and Management Systems","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/A5057724215","display_name":"Tolga Zaman","orcid":"https://orcid.org/0000-0001-8780-3655","observed_orcids":["https://orcid.org/0000-0001-8780-3655"]},"institutions":[{"id":"https://openalex.org/I224962290","display_name":"\u00c7ank\u0131r\u0131 Karatekin University","ror":"https://ror.org/011y7xt38","country_code":"TR","type":"education","lineage":["https://openalex.org/I224962290"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Tolga Zaman","raw_affiliation_strings":["Department of Statistics, Faculty of Science, \u00c7ank\u0131r\u0131 Karatekin University, \u00c7ank\u0131r\u0131 18100, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-8780-3655","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science, \u00c7ank\u0131r\u0131 Karatekin University, \u00c7ank\u0131r\u0131 18100, Turkey","institution_ids":["https://openalex.org/I224962290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024772198","display_name":"Cem Kad\u0131lar","orcid":"https://orcid.org/0000-0003-4950-9660","observed_orcids":["https://orcid.org/0000-0003-4950-9660"]},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cem Kadilar","raw_affiliation_strings":["Department of Statistics, Hacettepe University, Beytepe 06800, Ankara, Turkey,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Hacettepe University, Beytepe 06800, Ankara, Turkey,","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057724215"],"corresponding_institution_ids":["https://openalex.org/I224962290"],"apc_list":null,"apc_paid":null,"fwci":1.3581,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.84072325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"22","issue":"8","first_page":"1499","last_page":"1509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9994999766349792,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9994999766349792,"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/T13546","display_name":"Census and Population Estimation","score":9.999999747378752e-05,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/auxiliary-attribute","display_name":"auxiliary attribute","score":0.7319999933242798},{"id":"https://openalex.org/keywords/population-proportion","display_name":"population proportion","score":0.9129999876022339},{"id":"https://openalex.org/keywords/population-mean-estimation","display_name":"population mean estimation","score":0.878000020980835},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"mean squared error","score":0.972000002861023},{"id":"https://openalex.org/keywords/estimator-efficiency","display_name":"estimator efficiency","score":0.9229999780654907},{"id":"https://openalex.org/keywords/finite-population-variance-estimation","display_name":"finite population variance estimation","score":0.5910000205039978},{"id":"https://openalex.org/keywords/survey-sampling-estimators","display_name":"survey sampling estimators","score":0.6679999828338623}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8987599015235901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7233151793479919},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.6576365232467651},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.6272430419921875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6157647371292114},{"id":"https://openalex.org/C2993060064","wikidata":"https://www.wikidata.org/wiki/Q49918","display_name":"Population mean","level":3,"score":0.5953500866889954},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5811911821365356},{"id":"https://openalex.org/C118248890","wikidata":"https://www.wikidata.org/wiki/Q7295738","display_name":"Ratio estimator","level":5,"score":0.5433517098426819},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5009975433349609},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4758455455303192},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4222356677055359},{"id":"https://openalex.org/C35594927","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficient estimator","level":4,"score":0.3375585079193115},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.13204625248908997},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09087073802947998},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.07779935002326965},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09720510.2019.1621488","doi":"https://doi.org/10.1080/09720510.2019.1621488","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09720510.2019.1621488","pdf_url":null,"source":{"id":"https://openalex.org/S2764706862","display_name":"Journal of Statistics and Management Systems","issn_l":"0972-0510","issn":["0972-0510","2169-0014"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-2"],"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":"Journal of Statistics and Management Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1510253928","https://openalex.org/W1571736463","https://openalex.org/W1987237312","https://openalex.org/W2036169468","https://openalex.org/W2038481954","https://openalex.org/W2075201989","https://openalex.org/W2167394060","https://openalex.org/W4210796693"],"related_works":["https://openalex.org/W3012311792","https://openalex.org/W1556200486","https://openalex.org/W2183453083","https://openalex.org/W7201996410","https://openalex.org/W4247357711","https://openalex.org/W320515717","https://openalex.org/W2187825497","https://openalex.org/W2055864346","https://openalex.org/W2751823355","https://openalex.org/W3204701638"],"abstract_inverted_index":{"In":[0,76],"this":[1],"article,":[2],"we":[3],"propose":[4],"a":[5],"family":[6],"of":[7,14,18,25],"exponential":[8,45,68],"ratio":[9,44,67],"estimators":[10,46,55],"for":[11,41],"the":[12,15,19,23,26,30,35,53,59,66],"estimation":[13],"population":[16,27],"mean":[17,36],"study":[20],"variable":[21],"using":[22],"information":[24],"proportion":[28],"possessing":[29],"certain":[31],"attributes.":[32],"We":[33],"obtain":[34],"squared":[37],"error":[38],"(MSE)":[39],"equations":[40],"all":[42],"proposed":[43,54],"and":[47,61,65],"find":[48],"theoretical":[49],"conditions":[50,79],"that":[51],"make":[52],"more":[56],"efficient":[57],"than":[58],"Naik":[60],"Gupta":[62],"(1996)":[63],"estimator":[64,69],"suggested":[70],"by":[71,82],"Singh":[72],"et":[73],"al.":[74],"(2007).":[75],"addition,":[77],"these":[78],"are":[80],"supported":[81],"an":[83],"application":[84],"with":[85],"original":[86],"data":[87],"sets.":[88]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2019-07-30T00:00:00"}
