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Small area estimation with missing data using a multivariate linear random effects model
Linköping University, Department of Mathematics, Mathematical Statistics . Linköping University, Faculty of Science & Engineering. Department of Mathematics, College of Science and Technology, University of Rwanda.
Linköping University, Department of Mathematics, Mathematical Statistics . Linköping University, Faculty of Science & Engineering. Department of Energy and Technology, Swedish University of Agricultural Sciences.
Linköping University, Department of Mathematics, Mathematical Statistics . Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9896-4438
2017 (English)Report (Other academic)
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
Linköping: Linköping University Electronic Press, 2017. , 15 p.
Series
LiTH-MAT-R, ISSN 0348-2960 ; 2017:07
Keyword [en]
Multivariate linear model, Monotone sample, Repeated measures data
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-137648ISRN: LiTH-MAT-R--2017/07--SEOAI: oai:DiVA.org:liu-137648DiVA: diva2:1098049
Available from: 2017-05-23 Created: 2017-05-23 Last updated: 2017-06-02Bibliographically approved

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Ngaruye, Innocentvon Rosen, DietrichSingull, Martin
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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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