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

作     者：Ngaruye, Innocent von Rosen, Dietrich Singull, Martin 

作者机构：Univ Rwanda Dept Math Coll Sci & Technol POB 3900 Kigali Rwanda Linkoping Univ Dept Math S-58183 Linkoping Sweden Swedish Univ Agr Sci Dept Energy & Technol S-75007 Uppsala Sweden 

出 版 物：《JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE》 

年 卷 期：2018年第1卷第1期

页      面：23-37页

主　　题：Multivariate linear model Monotone sample Repeated measures data 

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.