{"id":"https://openalex.org/W2182375899","doi":"https://doi.org/10.3233/mas-150332","title":"On efficacy of empirical Bayes estimation of a finite population mean of a sensitive variable through randomized responses","display_name":"On efficacy of empirical Bayes estimation of a finite population mean of a sensitive variable through randomized responses","publication_year":2015,"publication_date":"2015-11-16","ids":{"openalex":"https://openalex.org/W2182375899","doi":"https://doi.org/10.3233/mas-150332","mag":"2182375899"},"language":"en","primary_location":{"id":"doi:10.3233/mas-150332","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-150332","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"},"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/A5013601695","display_name":"Arijit Chaudhuri","orcid":"https://orcid.org/0000-0002-4305-7686"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arijit Chaudhuri","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080774838","display_name":"Sanghamitra Pal","orcid":"https://orcid.org/0000-0002-5752-8282"},"institutions":[{"id":"https://openalex.org/I55862774","display_name":"West Bengal State University","ror":"https://ror.org/04qs5en05","country_code":"IN","type":"education","lineage":["https://openalex.org/I55862774"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanghamitra Pal","raw_affiliation_strings":["Department of Statistics, West Bengal State University, West Bengal, India"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, West Bengal State University, West Bengal, India","institution_ids":["https://openalex.org/I55862774"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013601695"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.08773288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"283","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/statistics","display_name":"Statistics","score":0.7418800592422485},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6885684132575989},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6815763115882874},{"id":"https://openalex.org/keywords/randomized-response","display_name":"Randomized response","score":0.5881015658378601},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5475113391876221},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5139898657798767},{"id":"https://openalex.org/keywords/population-mean","display_name":"Population mean","score":0.4865797758102417},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4568139314651489},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4338172674179077},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.41795921325683594},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41493403911590576},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.24706819653511047},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.14771658182144165},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07910329103469849},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.06159141659736633},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.05596190690994263}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7418800592422485},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6885684132575989},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6815763115882874},{"id":"https://openalex.org/C2776441110","wikidata":"https://www.wikidata.org/wiki/Q1436628","display_name":"Randomized response","level":3,"score":0.5881015658378601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5475113391876221},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5139898657798767},{"id":"https://openalex.org/C2993060064","wikidata":"https://www.wikidata.org/wiki/Q49918","display_name":"Population mean","level":3,"score":0.4865797758102417},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4568139314651489},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4338172674179077},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.41795921325683594},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41493403911590576},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.24706819653511047},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.14771658182144165},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07910329103469849},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.06159141659736633},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.05596190690994263},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/mas-150332","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-150332","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2185539502","https://openalex.org/W2047757012","https://openalex.org/W2350030166","https://openalex.org/W2351772654","https://openalex.org/W4226421483","https://openalex.org/W2523497642","https://openalex.org/W2184736560","https://openalex.org/W4254369686","https://openalex.org/W71502547","https://openalex.org/W195704130"],"abstract_inverted_index":{"In":[0],"a":[1,24,28,49,54],"social":[2],"survey":[3],"an":[4],"unequal":[5],"probability":[6],"sample":[7],"is":[8],"supposedly":[9],"at":[10],"hand.":[11],"The":[12],"problem":[13],"of":[14,23,33,65],"utilizing":[15],"it":[16],"to":[17,58],"estimate":[18],"the":[19,62],"finite":[20],"population":[21],"mean":[22],"stigmatizing":[25],"variable":[26,51,64],"has":[27],"known":[29],"solution":[30],"admitting":[31],"assessment":[32],"accuracy":[34],"level.":[35],"Here":[36],"we":[37],"examine":[38],"improvement":[39],"by":[40],"Empirical":[41],"Bayes":[42],"procedure,":[43],"exploiting":[44],"ava":[45],"ilable":[46],"data":[47,60],"on":[48,61],"correlated":[50],"while":[52],"using":[53],"randomized":[55],"response":[56],"technique":[57],"gather":[59],"main":[63],"interest.":[66]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}