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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 2520-8756, Vol. 1, p. 23-37Article in journal (Refereed) Published
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. Vol. 1, p. 23-37
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-147658DOI: 10.1007/s42081-018-0015-5ISI: 000655501800003OAI: oai:DiVA.org:liu-147658DiVA, id: diva2:1203553
Available from: 2018-05-03 Created: 2018-05-03 Last updated: 2024-11-04Bibliographically approved

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von Rosen, DietrichOhlson, Martin

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