Maximum likelihood estimation of random effects models (Q1093302)

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scientific article; zbMATH DE number 4022449
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Maximum likelihood estimation of random effects models
scientific article; zbMATH DE number 4022449

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    Maximum likelihood estimation of random effects models (English)
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    1987
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    Iterated GLS has a remarkable property when applied to the random effects model in its usual parameterization. The values for the parameter that measures relative variance, obtained through successive iterations, form a monotonic sequence. This property provides convenient checks for multiple maxima of the likelihood function and for existence of a local maximum that satisfies the non-negativity condition.
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    maximum likelihood estimation
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    generalized least squares
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    Iterated GLS
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    random effects model
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    multiple maxima
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    likelihood function
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    existence of a local maximum
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    non-negativity condition
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