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New methods to correct data
Scholtus designed a number of new algorithms to automatically correct systematic errors
Nowcasting using linear time series filters
Nowcasting using linear time series filters
Use sensors to improve Dutch people’s health
How can we make smarter use of technology in Dutch health research.
Environmental Input-Output Analyses for the Netherlands
Environmental Input-Output Analyses of greenhouse gases in the Netherlands
Sampling restricted access networks
Collecting information about the structure of random access networks
Bootstrapping structural time series models
A resample method to compute standard errors of estimates based on a structural time series model.
Impact of linkage errors and erroneous captures
Capture-recapture methods and violation of the assumptions of perfect linkage and no erroneous captures
ISI 2017: Focus on statistical innovations
the latest developments in the content and the methodology of statistics.
Measuring discontinuities due to survey process redesigns
This paper presents statistical methods to measure the impact due to a survey process redesign to avoid interruption of time series.
Multi-source Statistics: Basic Situations and Methods
Multi-source Statistics: basic situations of combining sources and estimation methods
CBS and VU Amsterdam: progress through cooperation
techniques such as ‘distributed analytics’ for collective analysis of multiple data sources
Filtering in the Fourier domain
Filtering in the Fourier domain: a new set of filters for seasonal adjustment of time series and its evaluation
CBS, The Hague University of Applied Sciences work on big data
In September 2016, Statistics Netherlands (CBS) established the Center for Big Data Statistics (CBDS).
EU mission visits Northern Cyprus statistical office
advice on the latest developments as well as the quality of statistics at the statistical office of Northern Cyprus
Correspondence between survey and admin data on quarterly turnover
Correspondence between survey and value added tax data on quarterly turnover
Imputation of Numerical Data under Edit Restrictions
This paper discusses a new imputation method for estimating missing data.
Divide-and-Conquer solutions for estimating large consistent table sets
Consistent estimation of a set coherent frequency tables
Removing the Gap between Annual and Sub-Annual Statistics
Statistical methods for reconciling data that are published at different frequencies (e.g. monthly and quarterly).
Blaise: CBS software, unique in the world for 30 years already
This year marks the 30th anniversary of the Blaise software developed by Statistics Netherlands (CBS).
Blaise: CBS software, unique in the world for 30 years already
Blaise is a software platform in constant development
Big data and methodological challenges
Big data and methodological challenges
Estimating unemployment levels using a mix of three interview modes
Extending the Materials Monitor with Water
Profiling of twitter users a big data selectivity study
Extending the Materials Monitor with Water
The use of within-subject experiments for estimating measurement effects in mixed-mode surveys
The estimation of measurement effects (MEs) of survey modes in the presence of selection bias poses a great problem to methodologists. We present a new method to estimate MEs by means of...