DOIAbstract
AbstractThe Fisher information for the canonical link exponential family generalised linear mixed model is derived. The contribution from the fixed effects parameters is shown to have a particularly simple form
AbstractThe Fisher information for the canonical link exponential family generalised linear mixed model is derived. The contribution from the fixed effects parameters is shown to have a particularly simple form
AbstractThe estimation of the covariance matrix or the multivariate components of variance is consid...
We study a special class of misspecified generalized linear models, where the true model is a mixed ...
We propose a new family of linear mixed-effects models based on the generalized Laplace distribution...
The Fisher information for the canonical link exponential family generalised linear mixed model is d...
AbstractThe Fisher information for the canonical link exponential family generalised linear mixed mo...
This paper develops formulae to compute the Fisher information matrix for the regression parameters ...
Abstract The inverse of the Fisher Information Matrix is a lower bound for the co-variance matrix of...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...
The linear mixed model has been a major research interest of Dr Arthur Gilmour, motivated by problem...
The coefficient of determination is well defined for linear models and its extension is long wanted ...
Consider stratified data in which Y_{i1} ,..., Y_{in_i} denote real-valued response variables corres...
Generalized linear mixed models are now popular in the animal breeding and biostatistics literature ...
Using the advancements of Arellano-Valle et al. [2005], which characterize the likelihood function o...
This paper deals with experimental designs adapted to a generalized linear model. We introduce a spe...
The technique of iterative weighted linear regression can be used to obtain maximum likelihood estim...
AbstractThe estimation of the covariance matrix or the multivariate components of variance is consid...
We study a special class of misspecified generalized linear models, where the true model is a mixed ...
We propose a new family of linear mixed-effects models based on the generalized Laplace distribution...
The Fisher information for the canonical link exponential family generalised linear mixed model is d...
AbstractThe Fisher information for the canonical link exponential family generalised linear mixed mo...
This paper develops formulae to compute the Fisher information matrix for the regression parameters ...
Abstract The inverse of the Fisher Information Matrix is a lower bound for the co-variance matrix of...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...
The linear mixed model has been a major research interest of Dr Arthur Gilmour, motivated by problem...
The coefficient of determination is well defined for linear models and its extension is long wanted ...
Consider stratified data in which Y_{i1} ,..., Y_{in_i} denote real-valued response variables corres...
Generalized linear mixed models are now popular in the animal breeding and biostatistics literature ...
Using the advancements of Arellano-Valle et al. [2005], which characterize the likelihood function o...
This paper deals with experimental designs adapted to a generalized linear model. We introduce a spe...
The technique of iterative weighted linear regression can be used to obtain maximum likelihood estim...
AbstractThe estimation of the covariance matrix or the multivariate components of variance is consid...
We study a special class of misspecified generalized linear models, where the true model is a mixed ...
We propose a new family of linear mixed-effects models based on the generalized Laplace distribution...
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