Small area estimation using reduced rank regression models

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

SLU författare

• von Rosen, Dietrich

  • Institutionen för energi och teknik, Sveriges lantbruksuniversitet
    
  • Linköpings universitet

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