Skip to main content
SLU:s publikationsdatabas (SLUpub)

Forskningsartikel2020Vetenskapligt granskadÖppen tillgång

Small area estimation using reduced rank regression models

von Rosen, Tatjana; von Rosen, Dietrich

Sammanfattning

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.

Nyckelord

Growth curve model; mixed linear model; reduced rank regression

Publicerad i

Communications in Statistics - Theory and Methods
2020, Volym: 49, nummer: 13, sidor: 3286-3297
Utgivare: TAYLOR & FRANCIS INC

    UKÄ forskningsämne

    Sannolikhetsteori och statistik

    Publikationens identifierare

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

    Permanent länk till denna sida (URI)

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