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Quantifying Measurement Errors in Partially Edited Business Survey Data
Örebro University, Örebro University School of Business. (Statistik)ORCID iD: 0000-0003-1040-3332
Statistiska centralbyrån, Stockholm, Sweden.
Statistiska centralbyrån, Stockholm, Sweden.
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. 319-337Chapter 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
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URN: urn:nbn:se:oru:diva-61404ISBN: 9781119041672 (print)OAI: oai:DiVA.org:oru-61404DiVA, id: diva2:1148596
Available from: 2017-10-11 Created: 2017-10-11 Last updated: 2017-10-17Bibliographically approved

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Laitila, Thomas

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