Search Results - subject:"data editing"

Developing a global transport costs dataset for international trade

Hoffmeister, Onno; Halim, Ronald; Lazarou, Nicholas-Joseph - 2022

Persistent link: https://www.econbiz.de/10013538978

Machine Learning in der amtlichen Statistik – Ergebnisse und Bewertung eines internationalen Projekts

Dumpert, Florian - In: WISTA – Wirtschaft und Statistik 73 (2021) 4, pp. 53-63

Die High-Level-Group for the Modernization of Official Statistics der Wirtschaftskommission der Vereinten Nationen für Europa hatte für die Jahre 2019 und 2020 ein Machine-Learning-Projekt initiiert. Das Projekt ermöglichte die Durchführung von Pilotstudien, um den Mehrwert maschinellen...

Persistent link: https://www.econbiz.de/10012604546

Imputation zur maschinellen Behandlung fehlender und unplausibler Werte in der amtlichen Statistik

Preising, Marcel; Lange, Kerstin; Dumpert, Florian - In: WISTA - Wirtschaft und Statistik 73 (2021) 5, pp. 40-52

automated data editing and imputation procedures. Therefore, it is important to deal with these issues in order to be able to …

Persistent link: https://www.econbiz.de/10012656331

Machine Learning in der amtlichen Statistik : Ergebnisse und Bewertung eines internationalen Projekts

Dumpert, Florian - In: Wirtschaft und Statistik : WISTA (2021) 4, pp. 53-63

Persistent link: https://www.econbiz.de/10012601947

Imputation zur maschinellen Behandlung fehlender und unplausibler Werte in der amtlichen Statistik

Preising, Marcel; Lange, Kerstin; Dumpert, Florian - In: Wirtschaft und Statistik : WISTA (2021) 5, pp. 40-52

automated data editing and imputation procedures. Therefore, it is important to deal with these issues in order to be able to …

Persistent link: https://www.econbiz.de/10012653729

A MIP approach for a generalised data editing problem

Daalmans, Jacco; Scholtus, Sander - 2018

Persistent link: https://www.econbiz.de/10011877988

A two-step selective editing procedure based on contamination models

Zio, Marco Di; Guarnera, Ugo - In: Rivista di statistica ufficiale 15 (2013) 2-3, pp. 71-82

Ilves and Laitila (2009) propose a two-step procedure for selective editing. According to their approach, in addition to the units selected as affected by influential errors, a sample from the remaining observations is drawn in order to remove the possible residual bias. In this paper, the use...

Persistent link: https://www.econbiz.de/10010821634

An introduction to data cleaning with R

Jonge, Edwin de; Loo, Mark van der - 2013

Persistent link: https://www.econbiz.de/10010393330

Manipulation of conditional restrictions and error localization with the editrules package

Loo, Mark van der; Jonge, Edwin de - 2012

Persistent link: https://www.econbiz.de/10009571764

Manipulation of linear edits and error localization with the editrules package

Jonge, Edwin de; Loo, Mark van der - 2011

Persistent link: https://www.econbiz.de/10009272134