Small-area estimation with missing data using a multivariate linear random effects model

Sammanfattning

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.

Nyckelord

Monotone sample; Multivariate linear model; Repeated measures data

Publicerad i

Japanese Journal of Statistics and Data Science
2018, volym: 1, nummer: 1, sidor: 23-37
Utgivare: Springer Science and Business Media B.V.

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/10.1007/s42081-018-0015-5

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/142871