{"id":"https://openalex.org/W7203707367","doi":"https://doi.org/10.47974/jsms-1577","title":"Efficient estimation of population variance in sample surveys utilizing auxiliary information","display_name":"Efficient estimation of population variance in sample surveys utilizing auxiliary information","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7203707367","doi":"https://doi.org/10.47974/jsms-1577"},"language":"en","primary_location":{"id":"doi:10.47974/jsms-1577","doi":"https://doi.org/10.47974/jsms-1577","is_oa":true,"landing_page_url":"https://doi.org/10.47974/jsms-1577","pdf_url":"https://tarupublications.com/journals/jsms/volume/29/issue/7%20&%208%20July%20&%20August/efficient-estimation-of-population-variance-in-sample-surveys-utilizing-auxiliary-information/pdf","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"},"parent_works":[],"lineage":["https://openalex.org/W7203707367"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://tarupublications.com/journals/jsms/volume/29/issue/7%20&%208%20July%20&%20August/efficient-estimation-of-population-variance-in-sample-surveys-utilizing-auxiliary-information/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111625088","display_name":"Housila P. Singh","orcid":"https://orcid.org/0000-0002-7816-9936","observed_orcids":["https://orcid.org/0000-0002-7816-9936"]},"institutions":[{"id":"https://openalex.org/I86381314","display_name":"Vikram University","ror":"https://ror.org/002k8gm39","country_code":"IN","type":"education","lineage":["https://openalex.org/I86381314"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Housila P. Singh","raw_affiliation_strings":["School of Studies in Statistics, Vikram University, Ujjain, Madhya Pradesh, 456010, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Studies in Statistics, Vikram University, Ujjain, Madhya Pradesh, 456010, India","institution_ids":["https://openalex.org/I86381314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102722043","display_name":"Neha Garg","orcid":"https://orcid.org/0000-0003-3123-1832","observed_orcids":["https://orcid.org/0000-0003-3123-1832"]},"institutions":[{"id":"https://openalex.org/I51969498","display_name":"Indira Gandhi National Open University","ror":"https://ror.org/02fzfx471","country_code":"IN","type":"education","lineage":["https://openalex.org/I51969498"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Neha Garg","raw_affiliation_strings":["School of Sciences, Indira Gandhi National Open University, New Delhi, Delhi, 110068, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sciences, Indira Gandhi National Open University, New Delhi, Delhi, 110068, India","institution_ids":["https://openalex.org/I51969498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5147395788","display_name":"Anant Patel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I51969498","display_name":"Indira Gandhi National Open University","ror":"https://ror.org/02fzfx471","country_code":"IN","type":"education","lineage":["https://openalex.org/I51969498"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anant Patel","raw_affiliation_strings":["School of Sciences, Indira Gandhi National Open University, New Delhi, Delhi, 110068, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sciences, Indira Gandhi National Open University, New Delhi, Delhi, 110068, India","institution_ids":["https://openalex.org/I51969498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102722043"],"corresponding_institution_ids":["https://openalex.org/I51969498"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"7 & 8 July & August","first_page":"715","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.0,"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/population-variance-estimation","display_name":"population variance estimation","score":0.9869999885559082},{"id":"https://openalex.org/keywords/auxiliary-information","display_name":"auxiliary information","score":0.8659999966621399},{"id":"https://openalex.org/keywords/simple-random-sampling-without-replacement","display_name":"simple random sampling without replacement","score":0.9269999861717224},{"id":"https://openalex.org/keywords/variance-estimators","display_name":"variance estimators","score":0.8399999737739563},{"id":"https://openalex.org/keywords/bias","display_name":"bias","score":0.6570000052452087},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"mean squared error","score":0.996999979019165},{"id":"https://openalex.org/keywords/optimal-estimators","display_name":"optimal estimators","score":0.7160000205039978}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6560999751091003},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6455000042915344},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.593999981880188},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5874999761581421},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4796000123023987},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4375},{"id":"https://openalex.org/C2985420695","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Population variance","level":3,"score":0.4284999966621399},{"id":"https://openalex.org/C5733905","wikidata":"https://www.wikidata.org/wiki/Q10744315","display_name":"Survey sampling","level":3,"score":0.4180000126361847},{"id":"https://openalex.org/C3018076075","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Variance components","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3682999908924103},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C2993060064","wikidata":"https://www.wikidata.org/wiki/Q49918","display_name":"Population mean","level":3,"score":0.3012000024318695},{"id":"https://openalex.org/C2993021520","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Sample variance","level":3,"score":0.2888999879360199},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C152587130","wikidata":"https://www.wikidata.org/wiki/Q7092351","display_name":"One-way analysis of variance","level":3,"score":0.27799999713897705},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.47974/jsms-1577","doi":"https://doi.org/10.47974/jsms-1577","is_oa":true,"landing_page_url":"https://doi.org/10.47974/jsms-1577","pdf_url":"https://tarupublications.com/journals/jsms/volume/29/issue/7%20&%208%20July%20&%20August/efficient-estimation-of-population-variance-in-sample-surveys-utilizing-auxiliary-information/pdf","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":{"id":"doi:10.47974/jsms-1577","doi":"https://doi.org/10.47974/jsms-1577","is_oa":true,"landing_page_url":"https://doi.org/10.47974/jsms-1577","pdf_url":"https://tarupublications.com/journals/jsms/volume/29/issue/7%20&%208%20July%20&%20August/efficient-estimation-of-population-variance-in-sample-surveys-utilizing-auxiliary-information/pdf","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"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7203707367.pdf","grobid_xml":"https://content.openalex.org/works/W7203707367.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4404600598"],"related_works":["https://openalex.org/W4415779627","https://openalex.org/W2482136698","https://openalex.org/W2537508911","https://openalex.org/W4405429728","https://openalex.org/W2139619458","https://openalex.org/W4399492905","https://openalex.org/W3107051826","https://openalex.org/W2050285181","https://openalex.org/W4413193101","https://openalex.org/W7220046146"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,14,38,46,53,58,66,71,105],"issue":[4],"of":[5,16,28,37,52,74],"estimating":[6],"population":[7,31,47,98],"variance":[8,32,48],"by":[9],"incorporating":[10],"auxiliary":[11,54],"information":[12,43],"within":[13],"framework":[15],"a":[17,22],"simple":[18],"random":[19],"sampling":[20],"without":[21],"replacement":[23],"scheme.We":[24],"have":[25,76,80],"suggested":[26,67],"classes":[27],"estimators":[29,68,88],"for":[30,57,65],"(S":[33,49],"2":[34],"y":[35],")":[36,51],"study":[39,94],"variable":[40,55],"(Y)":[41],"utilizing":[42],"available":[44],"on":[45],"2x":[50],"(X).Expressions":[56],"bias":[59],"and":[60],"mean":[61],"squared":[62],"error":[63],"(MSE)":[64],"up":[69],"to":[70,103],"first":[72],"order":[73],"approximation":[75],"been":[77,101],"obtained.Furthermore,":[78],"we":[79],"established":[81],"optimal":[82],"conditions":[83],"under":[84],"which":[85],"these":[86],"new":[87],"outperform":[89],"certain":[90],"existing":[91],"ones.An":[92],"empirical":[93],"using":[95],"three":[96],"real":[97],"datasets":[99],"has":[100],"conducted":[102],"substantiate":[104],"theoretical":[106],"results.":[107]},"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2026-08-19T00:00:00"}