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CBS aims to improve research methodology using AI
Statistics Netherlands (CBS) collects, processes, analyses and publishes data.
Statistical combination of different types of chlorofyll-a measurements in the Dutch North Sea
The report assesses the current method to combine chlorofyll-a measurements from different sources with special attention for the statistical weighting method. Based on the spatial and temporal...
Human capital migration from a life course perspective: The role of geography and gender
Dissertation on internal migration patterns of highly educated men and women from a life course perspective: from leaving the parental home to family formation.
Failure page CBS microdata environment
Failure page and planned maintanence microdata remote access
Ensuring the quality of statistics using scientific methods
CBS uses scientifically proven methods to guarantee the quality of its products and services.
Traffic Flow Density Estimation using Neural Networks
Estimating traffic flow densities measured through road sensors using neural networks
Time series modelling of mobility trends, 1999-2021
Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities
A Person Network of the Netherlands
As part of its research programme Statistics Netherlands has derived a network of the entire Dutch population. This paper describes the methods used to derive the network and will give an overview of...
State space methods for official statistics and climate modelling
Multivariate state space methods for estimating official statistics and modelling climate data.
Estimation of antenatal care coverage in Bangladesh
Method of estimating annual figures based on surveys that become available every three to four years.
Using Website texts to detect Innovative Companies
Producing an overview of innovative companies in a country is a challenging task.
Misclassification bias in statistical learning
Dissertation on correction methods for misclassification in statistical learning
Methodology Research Vision 2020- 2025
CBS Methodology Research Vision 2020- 2025
Correcting survey measurement error with big data from road sensors through capture-recapture
Using capture-recapture to correcy survey measurement error with big data from road sensors.
Better Data, Better lives
Interim review 2017-2019: Three years of Center for Big Data Statistics at Statistics Netherlands
Consistent estimates for categorical data based on a mix of administrative data sources and surveys
Dissertation on multiple imputation of latent classes to simultaneously estimate and correct for misclassification and missing data in combined datasets.
Editing and estimation of measurement errors
Dissertation on new methods for automatic editing of measurement errors and on the application of measurement error models.
Time series modelling in repeatedly conducted sample surveys
In this thesis, multivariate state space methods for the production of official statistics are developed. Various methods are provided to account for the underlying sample design and changes in it....
Restrictive imputation of incomplete survey data
Dissertation G. Vink, Restrictive imputation of incomplete survey data, Missing data, imputation, multiple imputation, estimation methods under restrictions
Informed design of mixed-mode surveys: Evaluating mode effects on measurement and selection error
Dissertation on various mode-effect estimation methods based on re-interview studies.
Design and analysis of experiments embedded in complex sample surveys
This thesis develops design-based analysis methods for field experiments that take into account the design of the probability sample by which units are drawn from a finite population and the...
Discrete models for survey data
Dissertation on models for discrete and categorical data in surveys, including estimations of interviewer variance, measurement errors in mixed modes, small area estimators, risk of statistical...