{"id":"https://openalex.org/W7225783191","doi":"https://doi.org/10.1177/18747655261505228","title":"Optimized sampling strategy for estimating population mean under uncertainty using auxiliary attribute","display_name":"Optimized sampling strategy for estimating population mean under uncertainty using auxiliary attribute","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225783191","doi":"https://doi.org/10.1177/18747655261505228"},"language":"en","primary_location":{"id":"doi:10.1177/18747655261505228","doi":"https://doi.org/10.1177/18747655261505228","is_oa":false,"landing_page_url":"https://doi.org/10.1177/18747655261505228","pdf_url":null,"source":{"id":"https://openalex.org/S2764680059","display_name":"Statistical Journal of the IAOS","issn_l":"1874-7655","issn":["1874-7655","1875-9254"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"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":"Statistical Journal of the IAOS","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/A5100600982","display_name":"Priya Priya","orcid":"https://orcid.org/0000-0002-2746-6957","observed_orcids":["https://orcid.org/0000-0002-2746-6957","https://orcid.org/0009-0001-2596-0935","https://orcid.org/0009-0005-7750-990X"]},"institutions":[{"id":"https://openalex.org/I4210133503","display_name":"Central University of Haryana","ror":"https://ror.org/03mtwkv54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210133503"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priya","raw_affiliation_strings":["Department of Statistics, Central University of Haryana, Mahendergarh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Central University of Haryana, Mahendergarh, India","institution_ids":["https://openalex.org/I4210133503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023461010","display_name":"Anoop Kumar","orcid":"https://orcid.org/0000-0003-2775-6548","observed_orcids":["https://orcid.org/0000-0003-2775-6548"]},"institutions":[{"id":"https://openalex.org/I4210133503","display_name":"Central University of Haryana","ror":"https://ror.org/03mtwkv54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210133503"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anoop Kumar","raw_affiliation_strings":["Department of Statistics, Central University of Haryana, Mahendergarh, India"],"raw_orcid":"https://orcid.org/0000-0003-2775-6548","affiliations":[{"raw_affiliation_string":"Department of Statistics, Central University of Haryana, Mahendergarh, India","institution_ids":["https://openalex.org/I4210133503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022019441","display_name":"Chandraketu Singh","orcid":"https://orcid.org/0000-0003-2367-5396","observed_orcids":["https://orcid.org/0000-0003-2367-5396"]},"institutions":[{"id":"https://openalex.org/I26771391","display_name":"Jaipuria Institute of Management","ror":"https://ror.org/038dhfq97","country_code":"IN","type":"education","lineage":["https://openalex.org/I26771391"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandraketu Singh","raw_affiliation_strings":["Jaipuria Institute of Management"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jaipuria Institute of Management","institution_ids":["https://openalex.org/I26771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5161482150","display_name":"Aditi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1141210","display_name":"Indian Agricultural Statistics Research Institute","ror":"https://ror.org/03kkevc75","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1141210","https://openalex.org/I179420787"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditi","raw_affiliation_strings":["Indian Agricultural Statistics Research Institute, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Agricultural Statistics Research Institute, New Delhi, India","institution_ids":["https://openalex.org/I1141210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3900,"currency":"USD","value_usd":3900},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"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":null,"issue":null,"first_page":null,"last_page":null},"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":[],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8903999924659729},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.593999981880188},{"id":"https://openalex.org/C2993060064","wikidata":"https://www.wikidata.org/wiki/Q49918","display_name":"Population mean","level":3,"score":0.5922999978065491},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5748999714851379},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5170000195503235},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47040000557899475},{"id":"https://openalex.org/C17648541","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficiency","level":3,"score":0.4652000069618225},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4634000062942505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4625999927520752},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4578000009059906},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44839999079704285},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.40610000491142273},{"id":"https://openalex.org/C181243257","wikidata":"https://www.wikidata.org/wiki/Q1693522","display_name":"Sample mean and sample covariance","level":3,"score":0.3662000000476837},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C68805675","wikidata":"https://www.wikidata.org/wiki/Q5422477","display_name":"Extremum estimator","level":4,"score":0.30070000886917114},{"id":"https://openalex.org/C2988709989","wikidata":"https://www.wikidata.org/wiki/Q85784623","display_name":"Mean square","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.29109999537467957},{"id":"https://openalex.org/C9490382","wikidata":"https://www.wikidata.org/wiki/Q729113","display_name":"Weighted arithmetic mean","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/18747655261505228","doi":"https://doi.org/10.1177/18747655261505228","is_oa":false,"landing_page_url":"https://doi.org/10.1177/18747655261505228","pdf_url":null,"source":{"id":"https://openalex.org/S2764680059","display_name":"Statistical Journal of the IAOS","issn_l":"1874-7655","issn":["1874-7655","1875-9254"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"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":"Statistical Journal of the IAOS","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":24,"referenced_works":["https://openalex.org/W2135416135","https://openalex.org/W2547595053","https://openalex.org/W2962840847","https://openalex.org/W3012311792","https://openalex.org/W3188965113","https://openalex.org/W4239852239","https://openalex.org/W4321064251","https://openalex.org/W4380372520","https://openalex.org/W4381095064","https://openalex.org/W4386850143","https://openalex.org/W4396639769","https://openalex.org/W4396824790","https://openalex.org/W4398142104","https://openalex.org/W4400739870","https://openalex.org/W4407706817","https://openalex.org/W4409639375","https://openalex.org/W4410927028","https://openalex.org/W4412825084","https://openalex.org/W4412854874","https://openalex.org/W4416119800","https://openalex.org/W4416252654","https://openalex.org/W4416982768","https://openalex.org/W7126264235","https://openalex.org/W7130538009"],"related_works":[],"abstract_inverted_index":{"In":[0],"survey":[1],"sampling,":[2],"efficient":[3],"estimation":[4,61,153],"of":[5,54,73,92,141,150],"population":[6,31,151],"parameters":[7],"under":[8,63,154],"uncertainty":[9,64],"remains":[10],"an":[11,25],"essential":[12],"challenge,":[13],"especially":[14],"when":[15],"auxiliary":[16,35,142],"information":[17],"is":[18,57,96],"imprecise":[19],"or":[20],"incomplete.":[21],"This":[22],"article":[23],"proposes":[24],"optimized":[26],"strategy":[27],"for":[28],"estimating":[29],"the":[30,48,74,93,102,109,132,138,146],"mean":[32,81,152],"by":[33],"incorporating":[34],"attributes,":[36],"which":[37],"are":[38,85],"qualitative":[39],"in":[40,144],"nature,":[41],"easily":[42],"accessible,":[43],"and":[44,80,99,123,148],"strongly":[45],"associated":[46],"with":[47,101],"study":[49,122,126,136],"variable.":[50],"A":[51],"novel":[52],"class":[53],"neutrosophic":[55,111],"estimators":[56,76,95,112],"constructed":[58],"to":[59],"improve":[60],"efficiency":[62,91,115],"using":[65,87],"simple":[66],"random":[67],"sampling":[68],"(SRS).":[69],"The":[70,90,105,135],"statistical":[71],"properties":[72],"proposed":[75,94,110],"such":[77],"as":[78],"bias":[79],"square":[82],"error":[83],"(MSE)":[84],"determined":[86],"first-order":[88],"approximations.":[89],"theoretically":[97],"examined":[98],"compared":[100],"adapted":[103,118],"estimators.":[104,119],"results":[106],"demonstrate":[107],"that":[108],"provide":[113],"substantial":[114],"gains":[116],"over":[117],"An":[120],"empirical":[121],"a":[124],"simulation":[125],"based":[127],"on":[128],"real":[129],"datasets":[130],"support":[131],"theoretical":[133],"findings.":[134],"emphasizes":[137],"practical":[139],"usefulness":[140],"attributes":[143],"enhancing":[145],"accuracy":[147],"reliability":[149],"uncertainty.":[155]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}