dc.contributor.author | Nekrašaitė-Liegė, Vilma | |
dc.date.accessioned | 2023-09-18T18:26:04Z | |
dc.date.available | 2023-09-18T18:26:04Z | |
dc.date.issued | 2010 | |
dc.identifier.other | (BIS)VGT02-000021868 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/127762 | |
dc.description.abstract | Different methods of nonresponse adjustment for the totals of smal area domains are examined. To improve quality of estimations mixed model with random effects at domain level is used. The empirical results are based on Monte Carlo simulations using different sampling designs. A study population is constructed from the Lithuanian survey on short-term statistics on service. | eng |
dc.format.extent | p. 102-106 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.title | Nonresponse adjustment in sage under different sampling design | |
dc.type | Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed source | |
dcterms.references | 7 | |
dc.type.pubtype | S4 - Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed publication | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | N 001 - Matematika / Mathematics | |
dc.subject.en | Smal area estimation | |
dc.subject.en | Nonresponse adjustment | |
dc.subject.en | Weighting | |
dc.subject.en | Imputation | |
dcterms.sourcetitle | Workshop on survey sampling theory and methodology. August 23-27, 2010, Vilnius, Lithuania / National Taras Shevchenko University of Kyiv, Stocholm University, University of Helsinki, University of Latvia, University of Tartu, Umeå University, Institute of Mathematics and Informatics, Statistics Lithuania, Vilnius Gediminas Technical University, Vilnius University | |
dc.publisher.name | Statistics Lithuania | |
dc.publisher.city | Vilnius | |
dc.identifier.elaba | 3923789 | |