Results 1 to 10 of about 22,337 (298)
Exact and approximate REML for heteroscedastic regression [PDF]
Statistical Modelling, 2001 Exact REML for heteroscedastic linear models is compared with a number of approximate REML methods which have been proposed in the literature, especially with the methods proposed by Lee and Nelder (LN98) and Smyth and Verbyla (SV99) for simultaneous mean-dispersion modelling in generalized linear models.
Smyth, G., Huele, F., Verbyla, A.
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The Asymptotic Distribution of REML Estimators
Journal of Multivariate Analysis, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cressie, Noel A, Lahiri, S
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REML estimation for binary data in GLMMs
Journal of Multivariate Analysis, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Noh, Maengseok, Lee, Youngjo
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A computationally efficient algorithm to leverage average information REML for (co)variance component estimation in the genomic era [PDF]
Genetics Selection EvolutionBackground Methods for estimating variance components (VC) using restricted maximum likelihood (REML) typically require elements from the inverse of the coefficient matrix of the mixed model equations (MME). As genomic information becomes more prevalent,
Ismo Strandén +4 more
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Copula miss-specification in REML multivariate genetic animal model estimation
Genetics Selection Evolution, 2022 Background In animal genetics, linear mixed models are used to deal with genetic and environmental effects. The variance and covariance terms of these models are usually estimated by restricted maximum likelihood (REML), which provides unbiased ...
Tom Rohmer, Anne Ricard, Ingrid David
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ANALYSIS OF DIALLEL CROSSBREEDING IN CHICKENS BY REML AND ANOVA METHODS [PDF]
Egyptian Poultry Science, 2020 The current experiment was carried out to compare REML-based to ANOVA-based methods (Griffing, Cockerham, Henderson) in estimation of crossbreeding genetic parameters in chicken experiments.
mohamed khalil, galal abou khadiga
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Explicit Effects and Effect Constraints in ReML [PDF]
Proceedings of the ACM on Programming LanguagesAn important aspect of building robust systems that execute on dedicated hardware and perhaps in constrained environments is to control and manage the effects performed by program code. We present ReML, a higher-order statically-typed functional language, which allows programmers to be explicit about the effects performed by program code and ...
Elsman, Martin
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Efficient ReML inference in variance component mixed models using a Min-Max algorithm.
PLoS Computational Biology, 2022 Since their introduction in the 50's, variance component mixed models have been widely used in many application fields. In this context, ReML estimation is by far the most popular procedure to infer the variance components of the model.
Fabien Laporte +2 more
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BarekengMixed effects model combines fixed effects and random effects, allowing for the analysis of data with both fixed and random variations. This modeling approach is widely utilized across various fields.
Asysta Amalia Pasaribu +2 more
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Estimation of (co)variance components for very large datasets and complex single-step genomic models [PDF]
Genetics Selection EvolutionBackground Variance components of linear mixed models should be estimated with all the data and information available for a specific statistical model to avoid bias. Due to computational limitations, the estimation for large datasets or complex models is
Matias Bermann +5 more
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