{"id":"https://openalex.org/W2017555674","doi":"https://doi.org/10.2478/jos-2014-0004","title":"Evaluation of Generalized Variance Functions in the Analysis of Complex Survey Data","display_name":"Evaluation of Generalized Variance Functions in the Analysis of Complex Survey Data","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2017555674","doi":"https://doi.org/10.2478/jos-2014-0004","mag":"2017555674"},"language":"en","primary_location":{"id":"doi:10.2478/jos-2014-0004","doi":"https://doi.org/10.2478/jos-2014-0004","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jos-2014-0004","pdf_url":"https://sciendo.com/pdf/10.2478/jos-2014-0004","source":{"id":"https://openalex.org/S79505318","display_name":"Journal of Official Statistics","issn_l":"0282-423X","issn":["0282-423X","2001-7367"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","erih-plus","jufo-1","norway-1","poland-100","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Official Statistics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://sciendo.com/pdf/10.2478/jos-2014-0004","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084997066","display_name":"MoonJung Cho","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]},{"id":"https://openalex.org/I1290095210","display_name":"Bureau of Labor Statistics","ror":"https://ror.org/03z2d7y96","country_code":"US","type":"government","lineage":["https://openalex.org/I1290095210","https://openalex.org/I1312264882"]}],"countries":["SE","US"],"is_corresponding":false,"raw_author_name":"MoonJung Cho","raw_affiliation_strings":["Statistics Sweden","U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. N.E., Washington, DC 20212, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Sweden","institution_ids":["https://openalex.org/I1279596006"]},{"raw_affiliation_string":"U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. N.E., Washington, DC 20212, U.S.A","institution_ids":["https://openalex.org/I1290095210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059005848","display_name":"John Lamont Eltinge","orcid":"https://orcid.org/0009-0006-7091-4221","observed_orcids":["https://orcid.org/0009-0006-7091-4221"]},"institutions":[{"id":"https://openalex.org/I1290095210","display_name":"Bureau of Labor Statistics","ror":"https://ror.org/03z2d7y96","country_code":"US","type":"government","lineage":["https://openalex.org/I1290095210","https://openalex.org/I1312264882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John L. Eltinge","raw_affiliation_strings":["U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. N.E., Washington, DC 20212, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. N.E., Washington, DC 20212, U.S.A","institution_ids":["https://openalex.org/I1290095210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076536943","display_name":"Julie Gershunskaya","orcid":"https://orcid.org/0000-0002-0096-186X","observed_orcids":["https://orcid.org/0000-0002-0096-186X"]},"institutions":[{"id":"https://openalex.org/I1290095210","display_name":"Bureau of Labor Statistics","ror":"https://ror.org/03z2d7y96","country_code":"US","type":"government","lineage":["https://openalex.org/I1290095210","https://openalex.org/I1312264882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julie Gershunskaya","raw_affiliation_strings":["U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. N.E., Washington, DC 20212, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. N.E., Washington, DC 20212, U.S.A","institution_ids":["https://openalex.org/I1290095210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040677791","display_name":"Larry Huff","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1290095210","display_name":"Bureau of Labor Statistics","ror":"https://ror.org/03z2d7y96","country_code":"US","type":"government","lineage":["https://openalex.org/I1290095210","https://openalex.org/I1312264882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Larry Huff","raw_affiliation_strings":["U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. N.E., Washington, DC 20212, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. N.E., Washington, DC 20212, U.S.A","institution_ids":["https://openalex.org/I1290095210"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5807,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6566823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":"30","issue":"1","first_page":"63","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.000699999975040555,"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"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/complex-survey-data","display_name":"complex survey data","score":0.8650000095367432},{"id":"https://openalex.org/keywords/variance-estimation","display_name":"variance estimation","score":0.8579999804496765},{"id":"https://openalex.org/keywords/mean-squared-error-estimation","display_name":"mean squared error estimation","score":0.8930000066757202},{"id":"https://openalex.org/keywords/multiple-regression-model","display_name":"multiple regression model","score":0.5989999771118164},{"id":"https://openalex.org/keywords/current-employment-statistics","display_name":"Current Employment Statistics","score":0.9739999771118164}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8266090154647827},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6993355751037598},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6448392868041992},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6053682565689087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5992414951324463},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.4398248791694641},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4361609220504761},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43583187460899353},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4266822338104248},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.425624817609787},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.3717542886734009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2707520127296448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15404537320137024},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.2478/jos-2014-0004","doi":"https://doi.org/10.2478/jos-2014-0004","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jos-2014-0004","pdf_url":"https://sciendo.com/pdf/10.2478/jos-2014-0004","source":{"id":"https://openalex.org/S79505318","display_name":"Journal of Official Statistics","issn_l":"0282-423X","issn":["0282-423X","2001-7367"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","erih-plus","jufo-1","norway-1","poland-100","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Official Statistics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2478/jos-2014-0004","doi":"https://doi.org/10.2478/jos-2014-0004","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jos-2014-0004","pdf_url":"https://sciendo.com/pdf/10.2478/jos-2014-0004","source":{"id":"https://openalex.org/S79505318","display_name":"Journal of Official Statistics","issn_l":"0282-423X","issn":["0282-423X","2001-7367"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-d","erih-plus","jufo-1","norway-1","poland-100","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Official Statistics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2017555674.pdf","grobid_xml":"https://content.openalex.org/works/W2017555674.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W143980942","https://openalex.org/W1558841548","https://openalex.org/W1982585616","https://openalex.org/W1982941932","https://openalex.org/W2000084758","https://openalex.org/W2048788048","https://openalex.org/W2058631965","https://openalex.org/W2080894081","https://openalex.org/W2107001081","https://openalex.org/W2125600005","https://openalex.org/W2167631877","https://openalex.org/W2335699666","https://openalex.org/W2413573154","https://openalex.org/W3016843226","https://openalex.org/W3042168128","https://openalex.org/W3143949042","https://openalex.org/W4299507536","https://openalex.org/W4300025484","https://openalex.org/W4300185665","https://openalex.org/W6750223540"],"related_works":["https://openalex.org/W7100533629","https://openalex.org/W2307259251","https://openalex.org/W1868007872","https://openalex.org/W2125600005","https://openalex.org/W2054937343","https://openalex.org/W7125497535","https://openalex.org/W2183678394","https://openalex.org/W2182921069","https://openalex.org/W7097704821","https://openalex.org/W7047698638"],"abstract_inverted_index":{"Abstract":[0],"Two":[1],"sets":[2],"of":[3,11,30,34,43,49,56,65,68,76,83],"diagnostics":[4],"are":[5,87],"presented":[6],"to":[7,73,89],"evaluate":[8],"the":[9,28,44,57,66,74,84,93],"properties":[10],"generalized":[12],"variance":[13,51,75,80],"functions":[14],"(GVFs)":[15],"for":[16,27],"a":[17,62,69,77],"given":[18],"sample":[19,90],"survey.":[20,97],"The":[21,37,53],"first":[22],"set":[23,39],"uses":[24,40],"test":[25],"statistics":[26],"coefficients":[29],"multiple":[31],"regression":[32],"forms":[33],"GVF":[35,70],"models.":[36],"second":[38],"smoothed":[41],"estimators":[42],"mean":[45],"squared":[46],"error":[47],"(MSE)":[48],"GVF-based":[50],"estimators.":[52],"smooth":[54],"version":[55],"MSE":[58],"estimator":[59],"can":[60],"provide":[61],"useful":[63],"measure":[64],"performance":[67],"estimator,":[71],"relative":[72],"standard":[78],"design-based":[79],"estimator.":[81],"Some":[82],"proposed":[85],"methods":[86],"applied":[88],"data":[91],"from":[92],"Current":[94],"Employment":[95],"Statistics":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2016-06-24T00:00:00"}