dc.contributor.author | Krapavickaitė, Danutė | |
dc.date.accessioned | 2023-09-18T16:55:34Z | |
dc.date.available | 2023-09-18T16:55:34Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/118217 | |
dc.description.abstract | The problem of data integration from various sources becomes more and more important in official statistics because of the growing needs for statistical information and limited resources to obtain it. The quality of the statistical output depends on the statistical methods used to combine the data and on the quality of the data sources used. This paper is devoted to one of the Work Packages of the ESSnet project Komuso. Its aim is to examine the accuracy aspect of the statistical output depending on the input. The work consists of critical reviews and suitability tests for existing methods and currently proposed methods to estimate the accuracy of statistical results. | eng |
dc.format | PDF | |
dc.format.extent | p. 31-35 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.source.uri | http://vilniusworkshop2017.vgtu.lt/wp-content/uploads/2017/07/Workshop-Proceedings-2017.pdf | |
dc.subject | FM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes | |
dc.title | Output quality of multisource statistics | |
dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
dcterms.references | 8 | |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
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.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
dc.subject.en | Quality | |
dc.subject.en | Accuracy | |
dc.subject.en | Bias | |
dc.subject.en | Variance | |
dc.subject.en | Data configuration. | |
dcterms.sourcetitle | Baltic-Nordic-Urainian workshop on survey statistics theory and methodology, August 21-24, 2017, Vilnius, Lithuania | |
dc.publisher.name | Lietuvos statistikos departamentas | |
dc.publisher.city | Vilnius | |
dc.identifier.elaba | 23451713 | |