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.
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页码：121 / 129
页数：9
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