Zoekresultaten
Resultaat 1 - 4 (van 4)
A.G. de Waal Processing of erroneous and unsafe data
Statistical offices have to overcome many problems before they can publish reliable data. Two of these problems are examined in this thesis. The first problem is the occurrence of errors in the collected data. Due to these errors publication figures cannot be directly based on the collected data. Before publication the errors in the data have to be localised and corrected. In this thesis we focus on the localisation of errors in a mix of categorical and numerical data. The problem is formulated as...
Non-fictie
Engels | 413 pagina's | Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam, [Rotterdam] | 2003
Gedrukt boek
A.G. de Waal A simple branching scheme for solving the error localisation problem
This paper presents a new algorithm for solving the error localisation problem for the mix of continuous and categorical data. This algorhitm is based on constructing a binary search tree
Non-fictie
Engels | 20 pagina's | Statistics Netherlands, Voorburg [etc.] | 2003
Gedrukt boek
Maaike Vonk | J. Pannekoek | A.G. de Waal Development of (automatic) error localisation strategy for the ABI and EPE Data
Non-fictie
Engels | 41 pagina's | Statistics Netherlands, Voorburg | 2003
Gedrukt boek
J. Pannekoek | A.G. de Waal Automatic edit and imputation for business surveys: the Dutch contributions to the Eurodit project
Paper describes the general approach applied by Statistics Netherlands on the two business surveys used in the Euredit project, and the development of the edit and imputation strategy. Furthermore the paper provides results of the approach on the two evaluation data sets, and compares these results to the results of the other institutes participating in Euredit
Non-fictie
Engels | 33 pagina's | Statistics Netherlands, Voorburg [etc.] | 2003
Gedrukt boek