Data/hora: 04/06/2024 09:59:29

Provedor de dados: 	31	
País: 	United States	
Título: 	Estimating variance components in Stata	
Autores: 	Marchenko,   Yulia V.	
Data: 	2011-11-04	
Ano: 	2005	
Palavras-chave: 	Variance components; Experimental design; ANOVA; REML; ML; Multilevel; Random coefficients; Mixed models; Research Methods/ Statistical Methods.	
Resumo: 	This article gives a brief overview of the popular methods for estimating variance components in linear models and describes several ways to obtain such estimates in Stata for various experimental designs. The article’s emphasis is on using xtmixed to estimate variance components. Prior to Stata 9, loneway could be used to estimate variance components for one-way random-effects models. For other experimental designs, variance components could be computed manually using saved results after anova. The latter approach is viable but requires tedious computations for complicated experimental designs. Instead, as of Stata 9, variance components are easily obtained by using xtmixed.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	st0095

http://purl.umn.edu/117553	
Relação: 	Stata Journal&gt;Volume 6, Number 1, 1st Quarter 2006	
Formato: 	21