Best linear unbiased predictor in the mixed model with incomplete data

Autor:	Lucia Pereira Barroso, Wilton O. Bussab, Martin Knott
Rok vydání:	1998
Předmět:	Statistics and Probability Mean square Mixed model Complete information Mixed linear model Statistics Best linear unbiased prediction PESQUISA E PLANEJAMENTO ESTATÍSTICO Random effects model Missing data Generalized linear mixed model Mathematics
Zdroj:	Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e04990792b49c47188fb2ee2cf0e034 Zobrazit plný text záznamu