{"id":"https://openalex.org/W7126264235","doi":"https://doi.org/10.1142/s0218488526500066","title":"Efficient Class of Neutrosophic Estimators of Population Mean under Uncertainty using Simple Random Sampling","display_name":"Efficient Class of Neutrosophic Estimators of Population Mean under Uncertainty using Simple Random Sampling","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7126264235","doi":"https://doi.org/10.1142/s0218488526500066"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488526500066","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488526500066","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","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/A5023461010","display_name":"Anoop Kumar","orcid":"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, 123031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Central University of Haryana, Mahendergarh, India, 123031","institution_ids":["https://openalex.org/I4210133503"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124439019","display_name":"Priya","orcid":null},"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, 123031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Central University of Haryana, Mahendergarh, India, 123031","institution_ids":["https://openalex.org/I4210133503"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210133503"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12366738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"02","first_page":"117","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.6606000065803528,"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":0.6606000065803528,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.16760000586509705,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.021400000900030136,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8601999878883362},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5641999840736389},{"id":"https://openalex.org/keywords/extremum-estimator","display_name":"Extremum estimator","score":0.44780001044273376},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.42910000681877136},{"id":"https://openalex.org/keywords/population-mean","display_name":"Population mean","score":0.3968000113964081},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.38449999690055847},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.3756999969482422}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8601999878883362},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5641999840736389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46939998865127563},{"id":"https://openalex.org/C68805675","wikidata":"https://www.wikidata.org/wiki/Q5422477","display_name":"Extremum estimator","level":4,"score":0.44780001044273376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43619999289512634},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C2993060064","wikidata":"https://www.wikidata.org/wiki/Q49918","display_name":"Population mean","level":3,"score":0.3968000113964081},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.352400004863739},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.30399999022483826},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29170000553131104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C143791395","wikidata":"https://www.wikidata.org/wiki/Q475208","display_name":"M-estimator","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218488526500066","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488526500066","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W132039452","https://openalex.org/W2036169468","https://openalex.org/W2052448331","https://openalex.org/W2083954180","https://openalex.org/W2093535616","https://openalex.org/W2128503603","https://openalex.org/W2133048547","https://openalex.org/W2509391986","https://openalex.org/W2528753846","https://openalex.org/W2907224914","https://openalex.org/W3005601104","https://openalex.org/W3042266059","https://openalex.org/W3120301049","https://openalex.org/W3177937235","https://openalex.org/W3188965113","https://openalex.org/W4224281499","https://openalex.org/W4224287553","https://openalex.org/W4311508041","https://openalex.org/W4320486376","https://openalex.org/W4388091362","https://openalex.org/W4392244928","https://openalex.org/W4393446266","https://openalex.org/W4393929603","https://openalex.org/W4396639769","https://openalex.org/W4399492905","https://openalex.org/W4401418947","https://openalex.org/W4404734975","https://openalex.org/W4405704798"],"related_works":[],"abstract_inverted_index":{"In":[0,34],"survey":[1],"sampling,":[2],"the":[3,9,12,17,36,41,67,80,107,124,128,143,151,158,166,173,178,194,199,211,215,226,232,235,240,256],"traditional":[4,129,227],"estimators":[5,38,82,104,119,154,176,200],"frequently":[6],"rely":[7],"on":[8],"assumptions":[10,258],"regarding":[11],"accuracy":[13],"and":[14,61,70,137,145,196],"certainty":[15],"of":[16,45,74,102,150,198,214,234],"data,":[18],"which":[19],"may":[20,259],"not":[21,260],"always":[22],"hold":[23],"in":[24,221,238],"practical":[25,212],"applications,":[26],"potentially":[27],"leading":[28],"to":[29,135,171,225],"errors":[30],"or":[31],"missing":[32],"information.":[33],"contrast,":[35],"neutrosophic":[37,81,103,125,153,175,236],"extend":[39],"beyond":[40],"conventional":[42,179,257],"binary":[43],"framework":[44,126],"true-false":[46],"by":[47,122,243],"introducing":[48],"a":[49,58,84,206,249],"third":[50],"component,":[51],"\u2018indeterminacy\u2019.":[52],"This":[53,96],"additional":[54],"component":[55],"allows":[56],"for":[57,66,88,105,142,252],"more":[59,85],"comprehensive":[60],"flexible":[62],"analysis":[63],"that":[64,192],"accounts":[65],"imprecise,":[68],"contradictory,":[69],"partially":[71],"known":[72],"nature":[73],"data.":[75],"By":[76],"explicitly":[77],"incorporating":[78],"uncertainty,":[79],"provide":[83],"robust":[86],"alternative":[87],"real-world":[89,253],"scenarios":[90],"where":[91,255],"data":[92,139,203,245],"quality":[93],"is":[94],"uncertain.":[95],"study":[97,191],"introduces":[98],"an":[99,188],"efficient":[100],"class":[101],"estimating":[106],"population":[108],"mean":[109,146],"under":[110,157],"uncertainty":[111,223],"using":[112],"simple":[113],"random":[114],"sampling":[115],"(SRS).":[116],"The":[117,229],"proposed":[118,152,174,216],"are":[120,155,169,184],"developed":[121],"integrating":[123],"into":[127],"estimation":[130,237],"techniques,":[131],"enhancing":[132],"their":[133,163,219],"adaptability":[134],"uncertain":[136],"ambiguous":[138],"structures.":[140],"Expressions":[141],"bias":[144],"square":[147],"error":[148],"(MSE)":[149],"derived":[156],"first-order":[159],"approximation.":[160],"To":[161],"evaluate":[162],"relative":[164],"performance,":[165],"mathematical":[167],"conditions":[168],"established":[170],"compare":[172],"with":[177],"ones.":[180],"These":[181],"theoretical":[182],"findings":[183,230],"rigorously":[185],"examined":[186],"through":[187],"extensive":[189],"simulation":[190],"assesses":[193],"efficiency":[195],"robustness":[197],"across":[201],"various":[202],"scenarios.":[204],"Additionally,":[205],"real-data":[207],"application":[208],"further":[209],"validates":[210],"utility":[213],"estimators,":[217],"demonstrating":[218],"superiority":[220],"handling":[222],"compared":[224],"estimators.":[228],"highlight":[231],"potential":[233],"improving":[239],"statistical":[241],"inference":[242],"accommodating":[244],"imperfections,":[246],"making":[247],"it":[248],"valuable":[250],"approach":[251],"applications":[254],"hold.":[261]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-01T00:00:00"}
