Proefschriften
2020-2029
- Zult, D.B. (2024). Counting the uncounted: Methodological extensions in multiple systems estimation. Utrecht University.
- Peerlings, D.E.W. (2024). Density estimation by neural networks: With applications to non-Gaussian distributions in time series analysis. Maastricht University.
- Wu, S. (2023). Improving predictions of response propensities for effective Adaptive Survey Design (ASD). Utrecht University. https://doi.org/10.33540/1791
- Meertens, Q.A. (2021). Misclassification Bias in Statistical Learning. University of Amsterdam. ISBN 978-94-641-9166-0.
- Schiavoni, C. (2021). Multivariate state space methods for official statistics and climate modelling. Maastricht University.
- Klingwort, J. (2020). Correcting survey measurement error with big data from road sensors through capture-recapture. University of Duisburg-Essen.
- Pankovska, P.K. (2020). Measurement error: Estimation, correction, and analysis of implications. VU Amsterdam. ISBN 978-94-642-1035-4.
2010-2019
- Boeschouten, L. (2019). Consistent estimates for categorical data based on a mix of administrative data sources and surveys. Tilburg University. ISBN 978-94-632-3803-8.
- Daalmans, J.A. (2019). Pushing the boundaries for automated data reconciliation in official statistics. Tilburg University. ISBN 978-94-636-1227-2.
- Scholtus, S. (2018). Editing and estimation of measurement errors in administrative and survey data. VU Amsterdam.
- Balabay, O. (2016). Time series modelling in repeatedly conducted sample surveys. Maastricht University.
- Gerritse, S.C. (2016). An application of population size estimation to official statistics. Utrecht University. ISBN 978-94-623-3323-9.
- Torres van Grinsven, V. (2015). Motivation in business survey response behavior: Influencing motivation to improve survey outcome. Utrecht University.
- Klausch, T. (2014). Informed design of mixed-mode surveys: Evaluating mode effects on measurement and selection error. Utrecht University. ISBN 978-90-393-6192-4.
- Calinescu, I.M. (2013). Optimal resource allocation in Adaptive Survey Designs. VU Amsterdam. ISBN 978-90-820-3491-2.
- Luiten, A. (2013). Improving survey fieldwork with paradata. Utrecht University. ISBN 978-90-357-2113-5.
2000-2009
- Cobben, F. (2009). Nonresponse in sample surveys: Methods for analysis and adjustment. University of Amsterdam. ISBN 978-90-357-2028-2.
- Snijkers, G.J.M.E. (2002). Cognitive laboratory experiences: On pre-testing computerised questionnaires and data quality. Utrecht University. ISBN 978-90-393-2928-1.
Before 2000
- Willenborg, L.C.R.J. (1988). Computational aspects of survey data processing. Tilburg University.
- Keller, W.J. (1979). Tax incidence: A general equilibrium approach. Erasmus University Rotterdam.
- Jan Tinbergen (1929). Minimumproblemen in de natuurkunde en ekonomie. Leiden University.