{"id":"https://openalex.org/W4379519581","doi":"https://doi.org/10.3390/axioms12060558","title":"Efficient Difference and Ratio-Type Imputation Methods under Ranked Set Sampling","display_name":"Efficient Difference and Ratio-Type Imputation Methods under Ranked Set Sampling","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4379519581","doi":"https://doi.org/10.3390/axioms12060558"},"language":"en","primary_location":{"id":"doi:10.3390/axioms12060558","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms12060558","pdf_url":"https://www.mdpi.com/2075-1680/12/6/558/pdf?version=1685958596","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2075-1680/12/6/558/pdf?version=1685958596","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010392796","display_name":"Shashi Bhushan","orcid":"https://orcid.org/0000-0002-3931-888X"},"institutions":[{"id":"https://openalex.org/I186246823","display_name":"University of Lucknow","ror":"https://ror.org/03bdeag60","country_code":"IN","type":"education","lineage":["https://openalex.org/I186246823"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashi Bhushan","raw_affiliation_strings":["Department of Statistics, University of Lucknow, Lucknow 226007, India"],"raw_orcid":"https://orcid.org/0000-0002-3931-888X","affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Lucknow, Lucknow 226007, India","institution_ids":["https://openalex.org/I186246823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023461010","display_name":"Anoop Kumar","orcid":"https://orcid.org/0000-0003-2775-6548"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anoop Kumar","raw_affiliation_strings":["Department of Statistics, Amity University, Lucknow 226028, India"],"raw_orcid":"https://orcid.org/0000-0003-2775-6548","affiliations":[{"raw_affiliation_string":"Department of Statistics, Amity University, Lucknow 226028, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057724215","display_name":"Tolga Zaman","orcid":"https://orcid.org/0000-0001-8780-3655"},"institutions":[{"id":"https://openalex.org/I224962290","display_name":"\u00c7ank\u0131r\u0131 Karatekin University","ror":"https://ror.org/011y7xt38","country_code":"TR","type":"education","lineage":["https://openalex.org/I224962290"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tolga Zaman","raw_affiliation_strings":["Department of Statistics, Faculty of Science, \u00c7ankiri Karatekin University, \u00c7ankiri 18100, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-8780-3655","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science, \u00c7ankiri Karatekin University, \u00c7ankiri 18100, Turkey","institution_ids":["https://openalex.org/I224962290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087532033","display_name":"Aned Al Mutairi","orcid":null},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Aned Al Mutairi","raw_affiliation_strings":["Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-6619-1725","affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023461010"],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":5.8959,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.97491151,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":"6","first_page":"558","last_page":"558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9998000264167786,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9998000264167786,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9973999857902527,"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":0.9894000291824341,"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/imputation","display_name":"Imputation (statistics)","score":0.8709651231765747},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.7346989512443542},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.6942204833030701},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6209574341773987},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5582286715507507},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5394353270530701},{"id":"https://openalex.org/keywords/simple-random-sample","display_name":"Simple random sample","score":0.5073522925376892},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4190462827682495},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4142466187477112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4052301347255707},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.0753653347492218},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06706234812736511}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8709651231765747},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.7346989512443542},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.6942204833030701},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6209574341773987},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5582286715507507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5394353270530701},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.5073522925376892},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4190462827682495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4142466187477112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4052301347255707},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0753653347492218},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06706234812736511},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/axioms12060558","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms12060558","pdf_url":"https://www.mdpi.com/2075-1680/12/6/558/pdf?version=1685958596","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c3c1be6e5adc41d88b1d1d8658221eab","is_oa":true,"landing_page_url":"https://doaj.org/article/c3c1be6e5adc41d88b1d1d8658221eab","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Axioms, Vol 12, Iss 6, p 558 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2075-1680/12/6/558/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/axioms12060558","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Axioms; Volume 12; Issue 6; Pages: 558","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/axioms12060558","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms12060558","pdf_url":"https://www.mdpi.com/2075-1680/12/6/558/pdf?version=1685958596","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6123218562","display_name":null,"funder_award_id":"PNURSP2023R368","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"}],"funders":[{"id":"https://openalex.org/F4320322484","display_name":"Princess Nourah Bint Abdulrahman University","ror":"https://ror.org/05b0cyh02"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379519581.pdf","grobid_xml":"https://content.openalex.org/works/W4379519581.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W132039452","https://openalex.org/W1986049907","https://openalex.org/W1995436618","https://openalex.org/W2004163492","https://openalex.org/W2006717666","https://openalex.org/W2008408176","https://openalex.org/W2047402721","https://openalex.org/W2085937572","https://openalex.org/W2100358124","https://openalex.org/W2110976713","https://openalex.org/W2148527884","https://openalex.org/W2162660442","https://openalex.org/W2483675240","https://openalex.org/W2498992350","https://openalex.org/W2515060255","https://openalex.org/W2565184219","https://openalex.org/W2797187080","https://openalex.org/W3196403397","https://openalex.org/W4210650911","https://openalex.org/W4236315606","https://openalex.org/W4290648550","https://openalex.org/W6671977439","https://openalex.org/W6676551524","https://openalex.org/W6731454514"],"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":{"It":[0],"is":[1,9],"well":[2],"known":[3],"that":[4,105],"ranked":[5],"set":[6],"sampling":[7,15],"(RSS)":[8],"more":[10],"efficient":[11,50],"than":[12,74],"simple":[13],"random":[14],"(SRS).":[16],"Furthermore,":[17],"the":[18,24,57,75,106,111,124,131,134],"presence":[19,58],"of":[20,31,59,117,126,133],"missing":[21,39,60],"data":[22],"vitiates":[23],"conventional":[25],"results.":[26],"Only":[27],"a":[28,44,85],"minuscule":[29],"amount":[30],"work":[32],"has":[33,138],"been":[34,140],"conducted":[35],"under":[36,62],"RSS":[37],"with":[38],"data.":[40],"This":[41],"paper":[42],"makes":[43],"modest":[45],"attempt":[46],"to":[47,70],"provide":[48,71],"some":[49],"difference-":[51],"and":[52,90,95,98,128],"ratio-type":[53],"imputation":[54,66,77,108,113,136],"methods":[55,67,114,137],"in":[56,115],"values":[61],"RSS.":[63],"The":[64,79,101],"envisaged":[65],"are":[68,82],"demonstrated":[69],"better":[72],"results":[73,81,103],"existing":[76,112],"methods.":[78],"theoretical":[80],"enhanced":[83],"by":[84],"computational":[86,102],"analysis":[87],"using":[88],"real":[89],"hypothetically":[91],"generated":[92],"symmetric":[93],"(Normal)":[94],"asymmetric":[96],"(Gamma":[97],"Weibull)":[99],"populations.":[100],"show":[104],"proposed":[107],"method":[109],"outperforms":[110],"terms":[116],"its":[118],"higher":[119],"percent":[120],"relative":[121],"efficiency.":[122],"Additionally,":[123],"impact":[125],"skewness":[127],"kurtosis":[129],"on":[130],"efficiency":[132],"suggested":[135],"also":[139],"calculated.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
