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Journal of Applied Statistics, 2003
Restricted likelihood was originally introduced as the criterion for the estimation of dispersion components in normal mixed linear models. Lee & Nelder (2001a) showed that it can be extended to a much wider class of models via double extended quasi-likelihood.
Youngjo Lee, John Nelder
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Restricted likelihood was originally introduced as the criterion for the estimation of dispersion components in normal mixed linear models. Lee & Nelder (2001a) showed that it can be extended to a much wider class of models via double extended quasi-likelihood.
Youngjo Lee, John Nelder
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Crop Science, 2011
ABSTRACTDiallel analyses can give different results depending on the model and the experimental design. A unified framework to fit and compare different models by mixed‐model packages is lacking. We, therefore, present a general diallel model and the required additional restrictions for the genetic variance–covariance structure to become equivalent to ...
J. Möhring +2 more
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ABSTRACTDiallel analyses can give different results depending on the model and the experimental design. A unified framework to fit and compare different models by mixed‐model packages is lacking. We, therefore, present a general diallel model and the required additional restrictions for the genetic variance–covariance structure to become equivalent to ...
J. Möhring +2 more
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The application of REML in clinical trials
Statistics in Medicine, 1994AbstractResidual maximum likelihood (REML) is a technique for estimating variance components in multi‐classified data. In contrast to analysis of variance it can be routinely applied to unbalanced data and avoids some of the problems of biased variance estimates found with standard maximum likelihood estimation.
H K, Brown, R A, Kempton
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Reml estimation for repeated measures analysis
Journal of Statistical Computation and Simulation, 1991Models for repeated measures or growth curves consist of a mean response plus error and the errors are usually correlated. Both maximum likelihood and residual maximum likelihood (REML) estimators of a regression model with dependent errors are derived for cases in which the variance matrix of the error model admits a convenient Cholesky factorisation.
McGilchrist, C. A, Cullis, Brian R
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Modifications of REML algorithm for HGLMs
Statistics and Computing, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Woojoo, Lee, Youngjo
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REML: Rock Engineering Markup Language
2012REML is presented for the rock engineering data exchange and sharing, which is a markup language based on Geography Markup Language (GML). In this paper, the scope and content of REML are discussed, and the features of rock engineering data are summarized. According to the results of the discussions, a 4-tier architecture is proposed for REML.
Zhenya Shen +3 more
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