Buscar
Mostrando ítems 1-10 de 73
Influence analysis for the generalized Waring regression model
(TAYLOR & FRANCIS LTD, 2020)
In this paper, we consider a regression model under the generalized Waring distribution for modeling count data. We develop and implement local influence diagnostic techniques based on likelihood displacement. Also we ...
The FGM bivariate lifetime copula model: a bayesian approach
(2011)
In this paper, we propose a bivariate distribution for the bivariate survival times based on Farlie-Gumbel-Morgenstern copula to model the dependence on a bivariate survival data. The proposed model allows for the presence ...
The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes
(Taylor and FrancisPhiladelphia, 2015-08)
The purpose of this paper is to develop a Bayesian approach for the log-Weibull-negative-binomial regression
model under latent failure causes and presence of a randomized activation mechanism. We assume
the number of ...
Case-deletion diagnostics for spatial linear mixed models
(2018)
We present global diagnostics techniques to assess the influence of observations on spatial linear mixed models. We review concepts of Cook's distance based on the likelihood and Q-function in the framework of geostatistical ...
Estimation and diagnostics for heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
An extension of some standard likelihood based procedures to heteroscedastic nonlinear regression models under scale mixtures of skew-normal (SMSN) distributions is developed. This novel class of models provides a useful ...
Influence Diagnostics for a Skew Extension of the Grubbs Measurement Error Model
(TAYLOR & FRANCIS INC, 2009)
Influence diagnostics methods are extended in this article to the Grubbs model when the unknown quantity x (latent variable) follows a skew-normal distribution. Diagnostic measures are derived from the case-deletion approach ...