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Inferência e diagnóstico em modelos não lineares Log-Gama generalizados
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Estatistica, 2017)
Three Bartlett-type corrections for score statistics in symmetric nonlinear regression models
(SPRINGER, 2010)
We present simple matrix formulae for corrected score statistics in symmetric nonlinear regression models. The corrected score statistics follow more closely a chi (2) distribution than the classical score statistic. Our ...
Bartlett and Bartlett-type corrections for testing linear restrictions
(ROUTLEDGE, 1999)
This letter shows how to extend a number of published results on Bartlett and Bartlett-type corrections to likelihood ratio and score test for the test of linear restrictions in regression models. A few applications and ...
Small-Sample Corrections for Score Tests in Birnbaum-Saunders Regressions
(TAYLOR & FRANCIS INC, 2011)
In this article, we deal with the issue of performing accurate small-sample inference in the Birnbaum-Saunders regression model, which can be useful for modeling lifetime or reliability data. We derive a Bartlett-type ...
Mdscore: an R package to compute improved score tests in generalized linear models
(Foundation for Open Access Statistics, 2014-10)
Improved likelihood-based inference in Birnbaum–Saunders nonlinear regression models
(Applied Mathematical Modelling, 2018)
Improved score tests in symmetric linear regression models
(TAYLOR & FRANCIS INC, 2008)
The class of symmetric linear regression models has the normal linear regression model as a special case and includes several models that assume that the errors follow a symmetric distribution with longer-than-normal tails. ...
Correção tipo-Bartlett à estatística gradiente nos modelos não lineares da família exponencial
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Estatistica, 2016)
Higher-order asymptotic refinements for score tests in proper dispersion models
(2001)
This paper develops second-order asymptotic theory for score tests in proper dispersion models without imposing known dispersion. Our results can be used to provide an Edgeworth expansion for the test statistic or to obtain ...