{"id":"https://openalex.org/W2621172592","doi":"https://doi.org/10.3233/mas-170386","title":"Ratio exponential type estimators with imputation for missing data in sample surveys","display_name":"Ratio exponential type estimators with imputation for missing data in sample surveys","publication_year":2017,"publication_date":"2017-06-02","ids":{"openalex":"https://openalex.org/W2621172592","doi":"https://doi.org/10.3233/mas-170386","mag":"2621172592"},"language":"en","primary_location":{"id":"doi:10.3233/mas-170386","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-170386","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/A5091513991","display_name":"Shakti Prasad","orcid":"https://orcid.org/0000-0002-7867-7586"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shakti Prasad","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091513991"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6995,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73209404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":"2","first_page":"95","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9692000150680542,"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/T11539","display_name":"Survey Methodology and Nonresponse","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7832551002502441},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7254294753074646},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.7099738121032715},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6911041736602783},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5033709406852722},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47943466901779175},{"id":"https://openalex.org/keywords/exponential-type","display_name":"Exponential type","score":0.4396127164363861},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.05747273564338684}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7832551002502441},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7254294753074646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7099738121032715},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6911041736602783},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5033709406852722},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47943466901779175},{"id":"https://openalex.org/C103642545","wikidata":"https://www.wikidata.org/wiki/Q5421531","display_name":"Exponential type","level":2,"score":0.4396127164363861},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.05747273564338684},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/mas-170386","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-170386","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":17,"referenced_works":["https://openalex.org/W1995436618","https://openalex.org/W2004163492","https://openalex.org/W2006717666","https://openalex.org/W2018765494","https://openalex.org/W2047402721","https://openalex.org/W2085937572","https://openalex.org/W2103212156","https://openalex.org/W2111993157","https://openalex.org/W2118502261","https://openalex.org/W2118598145","https://openalex.org/W2182573038","https://openalex.org/W2516360643","https://openalex.org/W2959404187","https://openalex.org/W4236315606","https://openalex.org/W6686340407","https://openalex.org/W6765155307","https://openalex.org/W7052647445"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516"],"abstract_inverted_index":{"Twenty":[0],"exponential":[1],"type":[2],"estimators":[3,30],"with":[4],"imputation":[5],"have":[6],"been":[7,25],"suggested":[8,29],"to":[9],"overcome":[10],"the":[11,28,35],"problem":[12],"of":[13,38],"missing":[14],"data":[15],"for":[16],"a":[17],"study":[18],"variable":[19],"in":[20],"sample":[21],"surveys.":[22],"It":[23],"has":[24],"shown":[26],"that":[27],"are":[31],"more":[32],"efficient":[33],"than":[34],"mean":[36],"method":[37],"imputati":[39]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
