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

被引：0

作者：

Innocent Ngaruye

Dietrich von Rosen

Martin Singull

机构：

[1] University of Rwanda,Department of Mathematics, College of Science and Technology

[2] Linköping University,Department of Mathematics

[3] Swedish University of Agricultural Sciences,Department of Energy and Technology

来源：

Japanese Journal of Statistics and Data Science | 2018年 / 1卷 / 1期

关键词：

Multivariate linear model; Monotone sample; Repeated measures data;

D O I：

10.1007/s42081-018-0015-5

中图分类号：

学科分类号：

摘要：

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.

引用

页码：23 / 37

页数：14

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