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
Fisher matrices play an important role in experimental design and in data analysis. Their primary ro...
In many statistical applications that concern mathematical psychologists, the concept of Fisher info...
In this paper, we describe full Bayesian inference for generalised linear models where uncertainty e...
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...
Abstract The inverse of the Fisher Information Matrix is a lower bound for the co-variance matrix of...
Consider a generalized linear model with a canonical link function, containing both fixed and random...
We consider natural and general exponential families Qmm∈M on ℜd parametrized by the means...
Consider a generalized linear model with a canonical link function, containing both fixed and random...
This communication deals with the analysis of experimental designs using a generalized linear model....
An accessible and self-contained introduction to statistical models-now in a modernized new editionG...
We consider natural and general exponential families (Qm)m∈M on R d parametrized by the means. We st...
For Poisson or multinomial contingency table data the conditional distribution is product multinomia...
This book covers two major classes of mixed effects models, linear mixed models and generalized line...
Nakagawa S, Schielzeth H. A general and simple method for obtaining R2 from generalized linear mixed...
Fisher matrices play an important role in experimental design and in data analysis. Their primary ro...
In many statistical applications that concern mathematical psychologists, the concept of Fisher info...
In this paper, we describe full Bayesian inference for generalised linear models where uncertainty e...
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...
Abstract The inverse of the Fisher Information Matrix is a lower bound for the co-variance matrix of...
Consider a generalized linear model with a canonical link function, containing both fixed and random...
We consider natural and general exponential families Qmm∈M on ℜd parametrized by the means...
Consider a generalized linear model with a canonical link function, containing both fixed and random...
This communication deals with the analysis of experimental designs using a generalized linear model....
An accessible and self-contained introduction to statistical models-now in a modernized new editionG...
We consider natural and general exponential families (Qm)m∈M on R d parametrized by the means. We st...
For Poisson or multinomial contingency table data the conditional distribution is product multinomia...
This book covers two major classes of mixed effects models, linear mixed models and generalized line...
Nakagawa S, Schielzeth H. A general and simple method for obtaining R2 from generalized linear mixed...
Fisher matrices play an important role in experimental design and in data analysis. Their primary ro...
In many statistical applications that concern mathematical psychologists, the concept of Fisher info...
In this paper, we describe full Bayesian inference for generalised linear models where uncertainty e...
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