This paper provides general matrix formulas for computing the score function, the (expected and observed) Fisher information and the A matrices (required for the assessment of local influence) for a quite general model which includes the one proposed by Russo et al. (2009). Additionally, we also present an expression for the generalized leverage on fixed and random effects. The matrix formulation has notational advantages, since despite the complexity of the postulated model, all general formulas are compact, clear and have nice forms. (C) 2010 Elsevier B.V. All rights reserved
Suggested diagnostics for influence on the estimated regression coefficients in a general-ized linea...
In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/o...
We introduce in this paper the class of linear models with first-order autoregressive elliptical err...
This paper provides general matrix formulas for computing the score function, the (expected and obse...
This paper provides general matrix formulas for computing the score function, the (expected and obse...
In this work we propose and analyze nonlinear elliptical models for longitudinal data, which represe...
In the literature, many influence measures proposed for Generalized Linear Mixed Models (GLMMs) requ...
In this work we propose and analyze nonlinear elliptical models for longitudinal data, which represe...
In the literature, many influence measures proposed for Generalized Linear Mixed Models (GLMMs) requ...
Abstract: This work deals with the calculation of local influence curvatures and generalized leverag...
AbstractLocal influence is a method of sensitivity analysis for assessing the influence of small per...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
We introduce in this paper the class of linear models with first-order autoregressive elliptical err...
Suggested diagnostics for influence on the estimated regression coefficients in a general-ized linea...
In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/o...
We introduce in this paper the class of linear models with first-order autoregressive elliptical err...
This paper provides general matrix formulas for computing the score function, the (expected and obse...
This paper provides general matrix formulas for computing the score function, the (expected and obse...
In this work we propose and analyze nonlinear elliptical models for longitudinal data, which represe...
In the literature, many influence measures proposed for Generalized Linear Mixed Models (GLMMs) requ...
In this work we propose and analyze nonlinear elliptical models for longitudinal data, which represe...
In the literature, many influence measures proposed for Generalized Linear Mixed Models (GLMMs) requ...
Abstract: This work deals with the calculation of local influence curvatures and generalized leverag...
AbstractLocal influence is a method of sensitivity analysis for assessing the influence of small per...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
We introduce in this paper the class of linear models with first-order autoregressive elliptical err...
Suggested diagnostics for influence on the estimated regression coefficients in a general-ized linea...
In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/o...
We introduce in this paper the class of linear models with first-order autoregressive elliptical err...