{"id":"https://openalex.org/W3092653735","doi":null,"title":"Optimal allocation in estimation of population mean in double sampling for stratification in presence of non-response and measurement error","display_name":"Optimal allocation in estimation of population mean in double sampling for stratification in presence of non-response and measurement error","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W3092653735","mag":"3092653735"},"language":"en","primary_location":{"id":"mag:3092653735","doi":null,"is_oa":true,"landing_page_url":"https://www.mathsjournal.com/pdf/2019/vol4issue6/PartA/4-6-1-140.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306514067","display_name":"International Journal of Statistics and Applied Mathematics","issn_l":"2456-1452","issn":["2456-1452"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Statistics and Applied Mathematics","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.mathsjournal.com/pdf/2019/vol4issue6/PartA/4-6-1-140.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013324699","display_name":"Ronald Onyango","orcid":"https://orcid.org/0000-0002-8652-3819","observed_orcids":["https://orcid.org/0000-0002-8652-3819"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Onyango O. Ronald","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088934112","display_name":"Oduor Brian","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oduor Brian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084438864","display_name":"Francis Odundo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Odundo Francis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"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":"4","issue":"6","first_page":"37","last_page":"44"},"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":[{"id":"https://openalex.org/keywords/double-sampling","display_name":"double sampling","score":0.6579999923706055},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"stratified sampling","score":0.9509999752044678},{"id":"https://openalex.org/keywords/population-mean-estimation","display_name":"population mean estimation","score":0.9549999833106995},{"id":"https://openalex.org/keywords/nonresponse","display_name":"nonresponse","score":0.8970000147819519},{"id":"https://openalex.org/keywords/measurement-error","display_name":"measurement error","score":0.9990000128746033},{"id":"https://openalex.org/keywords/ratio-type-estimators","display_name":"ratio-type estimators","score":0.7509999871253967},{"id":"https://openalex.org/keywords/product-type-estimators","display_name":"product-type estimators","score":0.9950000047683716},{"id":"https://openalex.org/keywords/auxiliary-variables","display_name":"auxiliary variables","score":0.9480000138282776},{"id":"https://openalex.org/keywords/optimal-allocation","display_name":"optimal allocation","score":0.6190000176429749},{"id":"https://openalex.org/keywords/minimum-cost","display_name":"minimum cost","score":0.48500001430511475},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"mean squared error","score":0.6209999918937683},{"id":"https://openalex.org/keywords/bias","display_name":"bias","score":0.5659999847412109},{"id":"https://openalex.org/keywords/lagrange-multiplier-method","display_name":"Lagrange multipliers","score":0.5040000081062317}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7535017132759094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.735930323600769},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7149637937545776},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5887672305107117},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5014185905456543},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4726542532444},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.4572157859802246},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4417475461959839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.11331439018249512},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3092653735","doi":null,"is_oa":true,"landing_page_url":"https://www.mathsjournal.com/pdf/2019/vol4issue6/PartA/4-6-1-140.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306514067","display_name":"International Journal of Statistics and Applied Mathematics","issn_l":"2456-1452","issn":["2456-1452"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Statistics and Applied Mathematics","raw_type":null}],"best_oa_location":{"id":"mag:3092653735","doi":null,"is_oa":true,"landing_page_url":"https://www.mathsjournal.com/pdf/2019/vol4issue6/PartA/4-6-1-140.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306514067","display_name":"International Journal of Statistics and Applied Mathematics","issn_l":"2456-1452","issn":["2456-1452"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Statistics and Applied Mathematics","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3155302113","https://openalex.org/W2786126785","https://openalex.org/W3164608100","https://openalex.org/W35453502","https://openalex.org/W7167973763","https://openalex.org/W2028815407","https://openalex.org/W2511156443","https://openalex.org/W3014705021","https://openalex.org/W2907458738","https://openalex.org/W2900072032"],"abstract_inverted_index":{"The":[0,65,85,93],"study":[1],"addresses":[2],"the":[3,48,61,74,80,88,99,107,122],"problem":[4],"of":[5,12,22,44,67,73,83,87,110,124],"minimum":[6,131],"cost":[7,86,117],"and":[8,24,41,51,57,69,106,134],"precision":[9],"in":[10,15,20,60],"estimation":[11],"population":[13,45],"mean":[14,70],"double":[16],"sampling":[17,105,112],"for":[18,98],"stratification":[19],"presence":[21],"non-response":[23,56],"measurement":[25,58],"error.":[26],"Information":[27],"on":[28],"a":[29,37,130],"single":[30],"auxiliary":[31,52],"variable":[32,50,53],"is":[33,90,119],"utilized":[34],"to":[35,129],"propose":[36],"ratio,":[38],"exponential":[39],"ratio-type":[40],"product-type":[42],"estimators":[43,76],"mean.":[46],"Both":[47],"survey":[49,89],"suffer":[54],"from":[55],"error":[59],"second":[62,103,135],"phase":[63,101,104,133,136],"sampling.":[64],"expression":[66],"biases":[68],"square":[71],"errors":[72],"proposed":[75],"are":[77,114],"obtained":[78],"upto":[79],"first":[81,100,132],"order":[82],"approximation.":[84],"studied":[91],"theoretically.":[92],"optimum":[94,108],"stratum":[95,137],"sample":[96,138],"sizes":[97],"sampling,":[102],"value":[109,123],"inverse":[111],"rate":[113],"obtained.":[115],"Minimum":[116],"function":[118],"attained":[120],"when":[121],"lagrangian":[125],"multiplier":[126],"decreases":[127],"leading":[128],"sizes.":[139]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2020-10-22T00:00:00"}
