This paper considers the issue of testing for varying dispersion in exponential family nonlinear models. We obtain a Bartlett correction to the modified profile likelihood ratio test given by Wei et al. [Testing for varying dispersion in exponential family nonlinear models. Ann. Inst. Statist. Math. 50 (1998) 277-294.]. Our results generalize those in Ferrari et al. [An improved test for heteroskedasticity using adjusted modified profile likelihood-inference. J. Statist. Plann. Inf. 124 (2004) 423-4376.] which are confined to normal linear regression models. Our numerical results show that the corrected test we propose displays reliable finite sample behavior and outperforms the ordinary and the modified profile likelihood ratio tests.Bartl...
Nonparametric maximum likelihood (NPML) estimation for exponential families with unspecified disper...
© 2009 Australian Statistical Publishing Association Inc. Published by Blackwell Publishing Asia Pty...
Mixed linear models are commonly used in repeated measures studies. They account for the dependence ...
Likelihood ratio tests can be substantially size distorted in small- and moderate-sized samples. In ...
A diagnostic model and several new diagnostic statistics are proposed for testing for varying disper...
Under suitable regularity conditions, an appropriate improved score statistic was derived recently b...
In this paper we obtain asymptotic expansions up to order n(-1/2) for the nonnull distribution funct...
Doctor of PhilosophyDepartment of StatisticsJames NeillThe problem of testing for lack of fit in exp...
Homogeneity of dispersion parameters is a standard assumption in inverse Gaussian regression analysi...
AbstractIn this paper we obtain asymptotic expansions up to order n−1/2 for the nonnull distribution...
For submodels of an exponential family, we consider likelihood ratio tests for hypotheses that rende...
Likelihood ratios are frequently utilized as basis for statistical tests, for model selection criter...
We examine the likelihood ratio (LR) statistic testing for the mixture hypothesis when the mixtures ...
When dealing with exponential family distributions, a constant dispersion is often assumed since it...
It is known that the Fisher scoring iteration for generalized linear models has the same form as the...
Nonparametric maximum likelihood (NPML) estimation for exponential families with unspecified disper...
© 2009 Australian Statistical Publishing Association Inc. Published by Blackwell Publishing Asia Pty...
Mixed linear models are commonly used in repeated measures studies. They account for the dependence ...
Likelihood ratio tests can be substantially size distorted in small- and moderate-sized samples. In ...
A diagnostic model and several new diagnostic statistics are proposed for testing for varying disper...
Under suitable regularity conditions, an appropriate improved score statistic was derived recently b...
In this paper we obtain asymptotic expansions up to order n(-1/2) for the nonnull distribution funct...
Doctor of PhilosophyDepartment of StatisticsJames NeillThe problem of testing for lack of fit in exp...
Homogeneity of dispersion parameters is a standard assumption in inverse Gaussian regression analysi...
AbstractIn this paper we obtain asymptotic expansions up to order n−1/2 for the nonnull distribution...
For submodels of an exponential family, we consider likelihood ratio tests for hypotheses that rende...
Likelihood ratios are frequently utilized as basis for statistical tests, for model selection criter...
We examine the likelihood ratio (LR) statistic testing for the mixture hypothesis when the mixtures ...
When dealing with exponential family distributions, a constant dispersion is often assumed since it...
It is known that the Fisher scoring iteration for generalized linear models has the same form as the...
Nonparametric maximum likelihood (NPML) estimation for exponential families with unspecified disper...
© 2009 Australian Statistical Publishing Association Inc. Published by Blackwell Publishing Asia Pty...
Mixed linear models are commonly used in repeated measures studies. They account for the dependence ...