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Small area estimation using reduced rank regression models
Stockholm Univ, Sweden.
Linköping University, Department of Mathematics, Mathematical Statistics . Linköping University, Faculty of Science & Engineering. Swedish Univ Agr Sci, Sweden.
2019 (English)In: Communications in Statistics - Theory and Methods, ISSN 0361-0926, E-ISSN 1532-415XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

Small area estimation techniques have got a lot of attention during the last decades due to their important applications in survey studies. Mixed linear models and reduced rank regression analysis are jointly used when considering small area estimation. Estimates of parameters are presented as well as prediction of random effects and unobserved area measurements.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS INC , 2019.
Keywords [en]
Growth curve model; mixed linear model; reduced rank regression
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-158370DOI: 10.1080/03610926.2019.1586946ISI: 000469651700001OAI: oai:DiVA.org:liu-158370DiVA, id: diva2:1332851
Note

Funding Agencies|Swedish Foundation for Humanities and Social Sciences [P14-0641:1]; Swedish Natural Research Council [2017-03003]

Available from: 2019-06-28 Created: 2019-06-28 Last updated: 2019-06-28

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