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This paper deals with a particular kind of regression problem, where the data have been censored in a specific way.

This paper focuses on the analysis and classification of respondents’ stated reasons for (probable) refusal to share smartphone‐sensor data based on two closely related questionnaires fielded in...

This paper presents the purpose, design, and results of a large-scale field experiment investigating the effects of a smartphone-first redesign of the login process and questionnaire layout for CBS...

This paper provides estimated sampling margins for Statline outcomes on rental changes and an explanation of how they were calculated

In this paper a variance approximation is proposed for the generalized regression estimator that accounts for the additional uncertainty if the weighting scheme contains population tables observed...

Mixed-mode adaptive survey designs have become a standard in many survey settings. Also the combination of mixing modes and adapting effort has been elaborated and applied. However, the focus has...

Discussion paper about a method based on time-series multilevel modelling to estimate detailed mobility trends corrected for discontinuities due to survey redesigns

This paper describes the methodological aspects of Microdata linking SBS data on data from the Enterprise Group Register (EGR). The goal is to determine a breakdown of some SBS variables based on the...

Improving the sampling strategy for the Community Innovation Survey using machine learning algorithms

The paper investigates theoretically how anonymous cell phone data may be used to produce dynamic population densities safely.

Hierarchical Bayesian models, MCMC simulatie, small area estimation.

An evaluation of different of a machine-learning algorithms for transport mode classification in the CBS travel app.

Rule-based transport mode classification in a smartphone-based travel survey

The population of Bonaire is expected to grow from 26.6 thousand today to 34.2 thousand by the year 2035. Last year’s forecast was for 30.5 thousand inhabitants on Bonaire in 2035.

An evaluation of various machne learning approaches towards the prediction of travel purposes of respondents

A comprehensive analysis of several quality aspects in smart surveys

Eliminary research into in the application of Large Language Models in Official Statistics.

In this publication, the natural gas consumption of households has been broken down by end use using smart meter data.

An objective method is developed for providing fast initial estimates and corresponding uncertainty of large macroeconomic indicators, including the aggregate gross domestic product (GDP).

Energy, supply, transformation, consumption, final consumption Natural gas, electricity, petroleum, hard coal, renewable energy, heat

production networks, intermediate supply and use, economic resilience, complex networks, network reconstruction

An evaluation of in-app respondent behvaiour in travel surveys.

Employed, unemployed and not included in labour force according to international definition by sex and age

Amount of waste collected by the municipal authorities broken down by province, size class and degree of urbanisation

Productivity: labour, capital, multi-factor productivity Classification (SIC 2008)