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Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC) Cover

Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC)

Journal of Official Statistics
Volume 33 (2017): Issue 4 (December 2017)
By: Laura Boeschoten,  Daniel Oberski and  Ton de Waal  
Open Access
|Nov 2017

Authors

Laura Boeschoten

l.boeschoten@tilburguniversity.edu

Tilburg University, Tilburg School of Social and Behavioral Sciences – Methodology and Statistics, Centraal Bureau voor de Statistiek – Process development and methodology, Tilburg

Daniel Oberski

d.l.oberski@uu.nl

Universiteit Utrecht, Social and Behavioural Sciences, Utrecht, Tilburg University, Tilburg School of Social and Behavioral Sciences – Methodology and Statistics, Utrecht

Ton de Waal

T.deWaal@cbs.nl

Centraal Bureau voor de Statistiek – Process development and methodology Den Haag, Tilburg University, Tilburg School of Social and Behavioral Sciences – Methodology and Statistics, Tilburg
DOI: https://doi.org/10.1515/jos-2017-0044 | Journal eISSN: 2001-7367
Journal RSS Feed
Language: English
Page range: 921 - 962
Submitted on: Jul 1, 2016
|
Accepted on: May 1, 2017
|
Published on: Nov 18, 2017
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
Mathematics,
Probability and statistics

© 2017 Laura Boeschoten, Daniel Oberski, Ton de Waal, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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