Best linear unbiased predictor in the mixed model with incomplete data

被引：5

作者：

Barroso, LP

Bussab, WO

Knott, M

机构：

[1] Fundacao Getulio Vargas, BR-01313902 Sao Paulo, Brazil

[2] Univ London London Sch Econ & Polit Sci, Dept Stat, London WC2A 2AE, England

[3] USP, Dept Estatist, BR-05315970 Sao Paulo, Brazil

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1998年 / 27卷 / 01期

关键词：

BLUP; missing observation; mixed linear model;

D O I：

10.1080/03610929808832654

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The problem of predicting individual measurement is considered. This paper develops the Best Linear Unbiased Predictor (BLUP) of the fixed and random effects and the missing observations, under a mixed linear model. The mean square errors are also obtained.

引用

页码：121 / 129

页数：9

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