| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Estimating variance components in Stata
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| Autores: |
Marchenko, Yulia V.
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| Data: |
2011-11-04
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| Ano: |
2005
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| Palavras-chave: |
Variance components
Experimental design
ANOVA
REML
ML
Multilevel
Random coefficients
Mixed models
Research Methods/ Statistical Methods
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| 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.
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| Tipo: |
Journal Article
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| Idioma: |
Inglês
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| Identificador: |
st0095
http://purl.umn.edu/117553
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| Relação: |
Stata Journal>Volume 6, Number 1, 1st Quarter 2006
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| Formato: |
21
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