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Research article2020Peer reviewedOpen access

Small area estimation using reduced rank regression models

von Rosen, Tatjana; von Rosen, Dietrich

Abstract

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.

Keywords

Growth curve model; mixed linear model; reduced rank regression

Published in

Communications in Statistics - Theory and Methods
2020, Volume: 49, number: 13, pages: 3286-3297 Publisher: TAYLOR & FRANCIS INC

    UKÄ Subject classification

    Probability Theory and Statistics

    Publication identifier

    DOI: https://doi.org/10.1080/03610926.2019.1586946

    Permanent link to this page (URI)

    https://res.slu.se/id/publ/100606