Quality measures for multisource statistics

Author:

de Waal Ton12,van Delden Arnout2,Scholtus Sander2

Affiliation:

1. Tilburg University, Tilburg, The Netherlands

2. Department of Process Development and Methodology, Statistics Netherlands, 2490 HA The Hague, The Netherlands

Publisher

IOS Press

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Management Information Systems

Reference21 articles.

1. De Waal T, Van Delden A, Scholtus S, Multisource statistics: basic situations and methods. Discussion paper, Statistics Netherlands; 2017, Available at www.cbs.nl.

2. Accuracy of mixed-source statistics as affected by classification errors;Van Delden;Journal of Official Statistics,2016

3. Van Delden A, Scholtus S, Burger J, Exploring the effect of time-related classification errors on the accuracy of growth rates in business statistics; 2016, Paper presented at the ICES V conference, 21–24 June 2016, Geneva.

4. Scholtus S, Van Delden A, Burger J, Analytical expressions for the accuracy of growth rates as affected by classification errors; 2017, Deliverable of SGA1 of the ESSnet on Quality of Multisource Statistics.

5. Estimating classification error under edit restrictions in combined survey-register data using multiple imputation latent class modelling (MILC);Boeschoten;Journal of Official Statistics,2017

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