{"id":"https://openalex.org/W4401300158","doi":"https://doi.org/10.1080/03610918.2024.2384559","title":"Treating the problem of non-response in stratified random sampling under calibration approach","display_name":"Treating the problem of non-response in stratified random sampling under calibration approach","publication_year":2024,"publication_date":"2024-08-02","ids":{"openalex":"https://openalex.org/W4401300158","doi":"https://doi.org/10.1080/03610918.2024.2384559"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2024.2384559","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2384559","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5058242642","display_name":"Manoj Kr. Chaudhary","orcid":"https://orcid.org/0009-0000-5834-7435"},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manoj K. Chaudhary","raw_affiliation_strings":["Department of Statistics, Institute of Science, Banaras Hindu University","Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Institute of Science, Banaras Hindu University","institution_ids":["https://openalex.org/I91357014"]},{"raw_affiliation_string":"Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India","institution_ids":["https://openalex.org/I91357014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043301465","display_name":"Basant K. Ray","orcid":null},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Basant K. Ray","raw_affiliation_strings":["Department of Statistics, Institute of Science, Banaras Hindu University","Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Institute of Science, Banaras Hindu University","institution_ids":["https://openalex.org/I91357014"]},{"raw_affiliation_string":"Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India","institution_ids":["https://openalex.org/I91357014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058242642"],"corresponding_institution_ids":["https://openalex.org/I91357014"],"apc_list":null,"apc_paid":null,"fwci":4.0211,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.94004406,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"54","issue":"10","first_page":"4472","last_page":"4480"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8511930704116821},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"Stratified sampling","score":0.7101413011550903},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6809819936752319},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6378892660140991},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5967445969581604},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5458037257194519},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5049474835395813},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4882254898548126},{"id":"https://openalex.org/keywords/population-mean","display_name":"Population mean","score":0.43740078806877136},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4203239977359772},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.41991671919822693},{"id":"https://openalex.org/keywords/bias-of-an-estimator","display_name":"Bias of an estimator","score":0.4191679358482361},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41874194145202637},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.2856425940990448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2559152841567993}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8511930704116821},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.7101413011550903},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6809819936752319},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6378892660140991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5967445969581604},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5458037257194519},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5049474835395813},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4882254898548126},{"id":"https://openalex.org/C2993060064","wikidata":"https://www.wikidata.org/wiki/Q49918","display_name":"Population mean","level":3,"score":0.43740078806877136},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4203239977359772},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.41991671919822693},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.4191679358482361},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41874194145202637},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.2856425940990448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2559152841567993},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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:10.1080/03610918.2024.2384559","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2384559","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1996838895","https://openalex.org/W2019530459","https://openalex.org/W2029685080","https://openalex.org/W2077563060","https://openalex.org/W2078989012","https://openalex.org/W3014705021"],"related_works":["https://openalex.org/W3049049652","https://openalex.org/W2154622657","https://openalex.org/W2780909494","https://openalex.org/W2081857943","https://openalex.org/W1513121561","https://openalex.org/W2356451205","https://openalex.org/W148593058","https://openalex.org/W4306684111","https://openalex.org/W1493968238","https://openalex.org/W4389576610"],"abstract_inverted_index":{"In":[0,98],"the":[1,36,48,57,80,88,95,101,105,109,112,115,119,126,132,144,147],"present":[2],"study,":[3,100],"we":[4,17,155],"suggested":[5],"a":[6,20,26,39,51,91],"chi-square-type":[7],"distance":[8,29],"function":[9],"that":[10,131],"works":[11],"well":[12],"for":[13,87],"non-response":[14,134],"situations":[15,71],"and":[16,65,111,139],"have":[18,156],"derived":[19,46],"new":[21],"calibration-based":[22],"estimator":[23,44,86,150],"using":[24,94],"such":[25],"kind":[27],"of":[28,38,50,90,146],"function,":[30],"which":[31],"is":[32,45],"used":[33],"to":[34,55,83,104,124],"estimate":[35],"mean":[37,89],"stratified":[40,92],"population.":[41],"The":[42],"proposed":[43,148],"through":[47],"implementation":[49],"reweighting":[52],"technique":[53],"referred":[54],"as":[56],"calibration":[58,96,127,149],"approach,":[59],"aimed":[60],"at":[61],"improving":[62],"upon":[63],"Hansen":[64],"Hurwitz's":[66],"(Citation1946)":[67],"estimator.":[68,128],"Typically,":[69],"in":[70,108,114,151],"where":[72],"some":[73],"units":[74,107,113],"do":[75],"not":[76],"respond,":[77],"researchers":[78],"adjust":[79],"stratum":[81],"weights":[82,102],"obtain":[84],"an":[85],"population":[93],"approach.":[97],"this":[99],"given":[103],"responding":[106],"sample":[110,121],"sub-sample":[116],"taken":[117],"from":[118],"non-responding":[120],"were":[122],"calibrated":[123],"derive":[125],"We":[129],"assume":[130],"unit":[133],"problem":[135],"impacts":[136],"both":[137],"study":[138],"auxiliary":[140],"variables.":[141],"To":[142],"examine":[143],"performance":[145],"scenarios":[152],"involving":[153],"non-response,":[154],"carried":[157],"out":[158],"empirical":[159],"studies.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
