Modelling measurement error to estimate bias in administrative and survey variables

S. Scholtus, A. van Delden, B.F.M. Bakker

Research output: Contribution to ConferencePaperOther research output

Original languageEnglish
Publication statusPublished - 2015
EventNew Techniques and Technologies for Statistics - Brussels
Duration: 9 Mar 201512 Mar 2015

Conference

ConferenceNew Techniques and Technologies for Statistics
Period9/03/1512/03/15

Bibliographical note

Place of publication: Brussels

Cite this

Scholtus, S., Delden, A. V., & Bakker, B. F. M. (2015). Modelling measurement error to estimate bias in administrative and survey variables. Paper presented at New Techniques and Technologies for Statistics, .
Scholtus, S. ; Delden, A. van ; Bakker, B.F.M. / Modelling measurement error to estimate bias in administrative and survey variables. Paper presented at New Techniques and Technologies for Statistics, .
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title = "Modelling measurement error to estimate bias in administrative and survey variables",
author = "S. Scholtus and Delden, {A. van} and B.F.M. Bakker",
note = "Place of publication: Brussels; New Techniques and Technologies for Statistics ; Conference date: 09-03-2015 Through 12-03-2015",
year = "2015",
language = "English",

}

Scholtus, S, Delden, AV & Bakker, BFM 2015, 'Modelling measurement error to estimate bias in administrative and survey variables' Paper presented at New Techniques and Technologies for Statistics, 9/03/15 - 12/03/15, .

Modelling measurement error to estimate bias in administrative and survey variables. / Scholtus, S.; Delden, A. van; Bakker, B.F.M.

2015. Paper presented at New Techniques and Technologies for Statistics, .

Research output: Contribution to ConferencePaperOther research output

TY - CONF

T1 - Modelling measurement error to estimate bias in administrative and survey variables

AU - Scholtus, S.

AU - Delden, A. van

AU - Bakker, B.F.M.

N1 - Place of publication: Brussels

PY - 2015

Y1 - 2015

M3 - Paper

ER -

Scholtus S, Delden AV, Bakker BFM. Modelling measurement error to estimate bias in administrative and survey variables. 2015. Paper presented at New Techniques and Technologies for Statistics, .