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Transformed generalized linear models
(ELSEVIER SCIENCE BV, 2009)
The estimation of data transformation is very useful to yield response variables satisfying closely a normal linear model, Generalized linear models enable the fitting of models to a wide range of data types. These models ...
Statistical analysis of controlled calibration model with replicates
(Taylor & Francis LtdAbingdonInglaterra, 2013)
Robust tests in generalized linear models with missing responses
(Elsevier Science Bv, 2013-09)
In many situations, data follow a generalized linear model in which the mean of the responses is modelled, through a link function, linearly on the covariates. Robust estimators for the regression parameter in order to ...
Robust linear mixed models with skew-normal independent distributions from a Bayesian perspective
(ELSEVIER SCIENCE BV, 2009)
Linear mixed models were developed to handle clustered data and have been a topic of increasing interest in statistics for the past 50 years. Generally. the normality (or symmetry) of the random effects is a common assumption ...
Leverage analysis for linear mixed models
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2011)
We consider a generalized leverage matrix useful for the identification of influential units and observations in linear mixed models and show how a decomposition of this matrix may be employed to identify high leverage ...
Heat transfer in fixed bed: a model non-linearity approach
(Elsevier B.V., 2000-06-01)
Studies have been carried out on the heat transfer in a packed bed of glass beads percolated by air at moderate flow rates. Rigorous statistic analysis of the experimental data was carried out and the traditional two ...
Fock space for fermion-like lattices and the linear Glauber model
(ELSEVIER SCIENCE BV, 2008)
The concept of Fock space representation is developed to deal with stochastic spin lattices written in terms of fermion operators. A density operator is introduced in order to follow in parallel the developments of the ...
Testing in generalized partly linear models: A robust approach
(Elsevier, 2013-01)
In this paper, we introduce a family of robust statistics which allow to decide between a parametric model and a semiparametric one. More precisely, under a generalized partially linear model, i.e., when the observations ...
Local Influence Under Parameter Constraints
(TAYLOR & FRANCIS INC, 2010)
Calculations of local influence curvatures and leverage have been well developed when the parameters are unrestricted. In this article, we discuss the assessment of local influence and leverage under linear equality parameter ...