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Quantifying Measurement Errors in Partially Edited Business Survey Data
Laitila, Thomas
Örebro University, Örebro University School of Business.
(Statistik)
ORCID iD:
0000-0003-1040-3332
Lindgren, Karin
Statistiska centralbyrån, Stockholm, Sweden.
Norberg, Anders
Statistiska centralbyrån, Stockholm, Sweden.
Tongur, Can
Statistiska centralbyrån, Stockholm, Sweden.
2017 (English)
In:
Total Survey Error in Practice: improving Quality in the Era of Big Data / [ed] Paul P. Biemer, Edith de Leeuw, Stephanie Eckman, Brad Edwards, Frauke Krauter, Lars E. Lyberg, N. Clyde Tucker, and Brady T. West, Hoboken, New Jersey: John Wiley & Sons, 2017, p. 319-337
Chapter in book (Refereed)
Place, publisher, year, edition, pages
Hoboken, New Jersey: John Wiley & Sons, 2017. p. 319-337
Series
Wiley Series in Survey Methodology
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN:
urn:nbn:se:oru:diva-61404
ISBN:
9781119041672 (print)
OAI: oai:DiVA.org:oru-61404
DiVA, id:
diva2:1148596
Available from:
2017-10-11
Created:
2017-10-11
Last updated:
2017-10-17
Bibliographically approved
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Laitila, Thomas
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modern-language-association-8th-edition
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ieee
modern-language-association-8th-edition
vancouver
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en-GB
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