liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Small area estimation with missing data using a multivariate linear random effects model
Department of Mathematics, University of Rwanda.
Linköping University, Department of Mathematics, Mathematical Statistics . Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Mathematics, Mathematical Statistics . Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9896-4438
2018 (English)In: Japanese Journal of Statistics and Data Science, ISSN 2520-8756Article in journal (Refereed) Accepted
Abstract [en]

In this article small area estimation with multivariate data that follow a monotonic missing sample pattern is addressed. Random effects growth curve models with covariates are formulated. A likelihood based approach is proposed for estimation of the unknown parameters. Moreover, the prediction of random effects and predicted small area means are also discussed.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2018.
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-147658OAI: oai:DiVA.org:liu-147658DiVA, id: diva2:1203553
Available from: 2018-05-03 Created: 2018-05-03 Last updated: 2018-05-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

von Rosen, DietrichOhlson, Martin

Search in DiVA

By author/editor
von Rosen, DietrichOhlson, Martin
By organisation
Mathematical Statistics Faculty of Science & Engineering
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 137 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf