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Estimating variance components in Stata AgEcon
Marchenko, Yulia V..
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 Palavras-chave: Variance components; Experimental design; ANOVA; REML; ML; Multilevel; Random coefficients; Mixed models; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117553
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Review of Multilevel and Longitudinal Modeling Using Stata by Rabe-Hesketh and Skrondal AgEcon
Wolfe, Rory.
This article reviews Multilevel and Longitudinal Modeling Using Stata, by Rabe-Hesketh and Skrondal.
Tipo: Journal Article Palavras-chave: Longitudinal; Multilevel; Gllamm; Generalized latent variable model; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117563
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Review of Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal AgEcon
Horton, Nicholas J..
This article reviews Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal.
Tipo: Article Palavras-chave: Multilevel; Longitudinal; Rabe-Hesketh; Skrondal; Mlmus2; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122625
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