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Handbook of statistical data editing and imputation

1st ed., 2011

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Multi‐source Statistics: Basic Situations and Methods

International statistical review, 2020-04, Vol.88 (1), p.203-228

2020

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Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes

Journal of the Royal Statistical Society. Series A, Statistics in society, 2019-10, Vol.182 (4), p.1463-1486

2019

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

Journal of official statistics, 2017-12, Vol.33 (4), p.921-962

2017

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Statistical Disclosure Control in Practice

1, 1996

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Obtaining numerically consistent estimates from a mix of administrative data and surveys

Statistical journal of the IAOS, 2016, Vol.32 (2), p.231-243

Waal, Ton de

2016

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Quality measures for multisource statistics

Statistical journal of the IAOS, 2019, Vol.35 (2), p.179-192

2019

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Preserving Logical Relations while Estimating Missing Values

Revista română de statistică, 2017-09, Vol.65 (3), p.47-59

2017

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Selective Editing: A Quest for Efficiency and Data Quality

Journal of official statistics, 2013-12, Vol.29 (4), p.473-488

de Waal, Ton

2013

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Calibrated Hot-Deck Donor Imputation Subject to Edit Restrictions

Journal of official statistics, 2013-09, Vol.29 (2), p.299-321

2013

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Calibrated imputation for multivariate categorical data

Advances in statistical analysis : AStA : a journal of the German Statistical Society, 2023-10

2023

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Elements of Statistical Disclosure Control

1, 2000

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Correcting for linkage errors in contingency tables—A cautionary tale

Journal of statistical planning and inference, 2022-05, Vol.218, p.122-137

2022

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The editing of statistical data: methods and techniques for the efficient detection and correction of errors and missing values

Wiley interdisciplinary reviews. Computational statistics, 2012-03, Vol.4 (2), p.204-210

2012

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Protection of Micro-data Subject to Edit Constraints Against Statistical Disclosure

Journal of official statistics, 2008-06, Vol.24 (2), p.229-253

Shlomo, Natalie

2008

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Assessment of the effect of constraints in a new multivariate mixed method for statistical matching

Computational statistics & data analysis, 2023-01, Vol.177, p.107569, Article 107569

2023

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Correcting Selection Bias in Big Data by Pseudo-Weighting

Journal of survey statistics and methodology, 2023-11, Vol.11 (5), p.1181-1203

2023

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Statistical Data Editing

Handbook of Statistics, 2009, Vol.29, p.187-214

De Waal, Ton

2009

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Updating Latent Class Imputations with External Auxiliary Variables

Structural equation modeling, 2018-09, Vol.25 (5), p.750-761

2018

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Finding errors in Big Data

Significance (Oxford, England), 2015-06, Vol.12 (3), p.26-29

2015

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Automatic error localisation for categorical, continuous and integer data

Statistics and operations research transactions, 2005, Vol.29 (1), p.57-99

Waal, Ton de

2005

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Calibrated Hot Deck Imputation for Numerical Data Under Edit Restrictions

Journal of survey statistics and methodology, 2017-09, Vol.5 (3), p.372-397

2017

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CALIBRATED IMPUTATION OF NUMERICAL DATA UNDER LINEAR EDIT RESTRICTIONS

The annals of applied statistics, 2013-12, Vol.7 (4), p.1983-2006

2013

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A Fast and Simple Algorithm for Automatic Editing of Mixed Data

Journal of official statistics, 2003-12, Vol.19 (4), p.383

2003

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Elements of Statistical Disclosure Control

2012

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Handbook of statistical data editing and imputation

Multi‐source Statistics: Basic Situations and Methods

Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes

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

Statistical Disclosure Control in Practice

Obtaining numerically consistent estimates from a mix of administrative data and surveys

Quality measures for multisource statistics

Preserving Logical Relations while Estimating Missing Values

Selective Editing: A Quest for Efficiency and Data Quality

Calibrated Hot-Deck Donor Imputation Subject to Edit Restrictions

Calibrated imputation for multivariate categorical data

Elements of Statistical Disclosure Control

Correcting for linkage errors in contingency tables—A cautionary tale

The editing of statistical data: methods and techniques for the efficient detection and correction of errors and missing values

Protection of Micro-data Subject to Edit Constraints Against Statistical Disclosure

Assessment of the effect of constraints in a new multivariate mixed method for statistical matching

Correcting Selection Bias in Big Data by Pseudo-Weighting

Statistical Data Editing

Updating Latent Class Imputations with External Auxiliary Variables

Finding errors in Big Data

Automatic error localisation for categorical, continuous and integer data

Calibrated Hot Deck Imputation for Numerical Data Under Edit Restrictions

CALIBRATED IMPUTATION OF NUMERICAL DATA UNDER LINEAR EDIT RESTRICTIONS

A Fast and Simple Algorithm for Automatic Editing of Mixed Data

Elements of Statistical Disclosure Control

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