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A.G. de Waal Computational results for various error localisation algorithms
Several algorithms for solving the so-called error localisation problem have been developed at Statistics Netherlands. Paper compares computational results for four different algorithms for automatic error localisation on six data sets involving numerical data
Non-fictie
Engels | 13 pagina's | Statistics Netherlands, Voorburg [etc.] | 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
A.G. de Waal An algorithm for consistent imputation in mixed data
Non-fictie
Engels | 13 pagina's | Statistics Netherlands, Voorburg | 2002
Gedrukt boek
A.G. de Waal An algorithm for error localisation in mixed data
Non-fictie
Engels | 21 pagina's | Statistics Netherlands, Voorburg | 2002
Gedrukt boek
A.G. de Waal New developments in automatic edit and imputation at statistics Netherlands
Non-fictie
Engels | 12 pagina's | Statistics Netherlands, Voorburg | 2000
Gedrukt boek
A.G. de Waal Identifying balance restrictions
Non-fictie
Engels | 16 pagina's | CBS, Voorburg | 1997
Gedrukt boek
A.G. de Waal Cutting plane algorithms for optimal automatic error localization
Non-fictie
Engels | 19 pagina's | CBS, Voorburg | 1997
Gedrukt boek
A.G. de Waal An algorithm for solving the error localisation problem in general data based on cutting planes
Non-fictie
Engels | 26 pagina's | Statistics Netherlands, Voorburg | 2002
Gedrukt boek
A.G. de Waal Algorithms for automatic error localisation and modification
Non-fictie
Engels | 23 pagina's | CBS, Voorburg | 2002
Gedrukt boek