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Imputation of numerical data under linear edit restrictions

Coutinho, Wieger; Waal, Ton de; Remmerswaal, Marco - 2007

Persistent link: https://www.econbiz.de/10003861361

Imputation of numerical data under edit restrictions : the vertices approach

Waal, Ton de; Coutinho, Wieger - 2017

Persistent link: https://www.econbiz.de/10011596943

Calibrated imputation of numerical data under linear edit restrictions

Pannekoek, Jeroen; Shlomo, Natalie; Waal, Ton de - 2009

Persistent link: https://www.econbiz.de/10003863409

An overview of statistical data editing

Waal, Ton de - 2008

Persistent link: https://www.econbiz.de/10003861381

Statistical data editing

Waal, Ton de - 2009

Persistent link: https://www.econbiz.de/10003878852

A general formulation of the secondary cell suppression problem

Daalmans, Jacco; Waal, Ton de - 2010

Persistent link: https://www.econbiz.de/10003985463

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

Waal, Ton de; Pannekoek, Jeroen; Scholtus, Sander - 2011

Persistent link: https://www.econbiz.de/10009413550

Multi-source statistics : basic situations and methods

Waal, Ton de; Delden, Arnout van; Scholtus, Sander - 2017

Persistent link: https://www.econbiz.de/10011687997

Estimating classification error under edit restrictions in combined survey-register data

Boeschoten, Laura; Oberski, Daniel; Waal, Ton de - 2016

Persistent link: https://www.econbiz.de/10011536216

Handbook of statistical data editing and imputation

Waal, Ton de; Pannekoek, Jeroen; Scholtus, Sander - 2011 - Online-Ausg.

A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values. As a result, the important role of...

Persistent link: https://www.econbiz.de/10012683459