1994Statistics & Probability LettersOpen access

A quasi-likelihood approach to the REML estimating equations

C. C. Heyde

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Abstract

Difficult derivations of estimating functions via maximum likelihood methods can be often avoided and the results obtained under more general conditions using quasi-likelihood methods. In this note we illustrate the principle via the derivation of the restricted (or residual) (REML) estimating equations.

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Difficult derivations of estimating functions via maximum likelihood methods can be often avoided and the results obtained under more general conditions using quasi-likelihood methods. In this note we illustrate the principle via the derivation of the restricted (or residual) (REML) estimating equations.

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Available abstract

Difficult derivations of estimating functions via maximum likelihood methods can be often avoided and the results obtained under more general conditions using quasi-likelihood methods. In this note we illustrate the principle via the derivation of the restricted (or residual) (REML) estimating equations.

Key concepts: Restricted maximum likelihood, Mathematics, Maximum likelihood, Estimating equations, Residual, Applied mathematics, Quasi-maximum likelihood, Likelihood function

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