Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Imputationsverfahren"'
Completeness as one of the four major dimensions of data quality is a pervasive issue in modern databases. Although data imputation has been studied extensively in the literature, most of the research is focused on inference-based approach. We propos
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A79722
https://tud.qucosa.de/api/qucosa%3A79722/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A79722/attachment/ATT-0/
Autor:
Schaller, Jannik
Zur Beurteilung des sozialen und wirtschaftlichen Lebensstandards in der Europäischen Union (EU) strebt die amtliche Statistik an, Einkommen und Konsumausgaben privater Haushalte gemeinsam zu betrachten. Hierfür existiert derzeit keine einheitliche
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::d7f62a0f31a9346d2d7d020516520cb3
https://hdl.handle.net/10419/237402
https://hdl.handle.net/10419/237402
Autor:
Jörg Drechsler, Hans Kiesl
Publikováno v:
Journal of Survey Statistics and Methodology. 4:22-42
"Questions on income in surveys are prone to two sources of errors that can cause bias if not addressed adequately at the analysis stage. On the one hand, income is considered sensitive information and response rates on income questions generally ten
Publikováno v:
ASONAM
Completeness as one of the four major dimensions of data quality is a pervasive issue in modern databases. Although data imputation has been studied extensively in the literature, most of the research is focused on inference-based approach. We propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43cc0a6fe6166488f46fac1c85940c1f
https://tud.qucosa.de/id/qucosa:79722
https://tud.qucosa.de/id/qucosa:79722
Autor:
Meister, Romy
Missing values are a serious problem in surveys. The literature suggests to replace these with realistic values using imputation methods. This master thesis examines four different imputation techniques concerning their ability for handling missing d
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A29274
https://tud.qucosa.de/api/qucosa%3A29274/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A29274/attachment/ATT-0/
Autor:
Reichelt, Malte
"Using longitudinal wage information in linked datasets such as ALWA-ADIAB is not straight-forward. First, due to the upper earnings limit for social security contributions, parts of the wages have to be imputed. Second, although information from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::7c277341a841c2df224d7501f28d5384
http://doku.iab.de/fdz/reporte/2015/MR_01-15_EN.pdf
http://doku.iab.de/fdz/reporte/2015/MR_01-15_EN.pdf
Effectiveness of data correction rules in process-produced data : the case of educational attainment
"The use of process-produced data plays a large and growing role in empirical labor market research. To address data problems, previous research have developed deductive correction rules that make use of within-person information. We test data reliab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::4cc02fec989e9225730230f58f52767c
http://doku.iab.de/discussionpapers/2014/dp1514.pdf
http://doku.iab.de/discussionpapers/2014/dp1514.pdf
Autor:
Kölling, Arnd, Rässler, Susanne
"This paper illustrates the effects of item-nonresponse in surveys on the results of multivariate statistical analysis when estimation of productivity is the task. To multiply impute the missing data a data augmentation algorithm based on a normal/Wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ed849def079670463c4b2eb865851e5a
http://doku.iab.de/discussionpapers/2004/dp0504.pdf
http://doku.iab.de/discussionpapers/2004/dp0504.pdf
"Im IAB wird derzeit die Anonymisierbarkeit von Paneldaten zur Erstellung von Scientific-Use-Files untersucht. Dabei wurden mithilfe der Multiplen Imputation synthetische Datensätze der Erhebungswelle 2007 des IAB-Betriebspanels erzeugt. Dieses Vorg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::c7042e0119c360f37fca7bb3edc6aa39
http://doku.iab.de/fdz/reporte/2011/MR_02-11.pdf
http://doku.iab.de/fdz/reporte/2011/MR_02-11.pdf
Autor:
Drechsler, Jörg
"Providing scientific use files for business surveys is a difficult task. Due to smaller populations, higher sampling rates, and skewed distributions disclosure risks are much higher than for household surveys. Simple measures like coarsening are not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::5cf06d10d4ee2a2a9d069a2b0d76ce81
http://doku.iab.de/fdz/reporte/2011/MR_01-11.pdf
http://doku.iab.de/fdz/reporte/2011/MR_01-11.pdf