A diagnostic model and several new diagnostic statistics are proposed for testing for varying dispersion in exponential family nonlinear models. A score statistic and an adjusted score statistic based on Cox and Reid (1987, J. Roy. Statist. Soc. Ser. B, 55, 467-471) are derived in normal, inverse Gaussian, and gamma nonlinear models. An adjusted likelihood ratio statistic is also given for normal and inverse Gaussian nonlinear models. The results of simulation studies are presented , which show that the adjusted tests keep their sizes better and are more powerful than the ordinary tests.link_to_subscribed_fulltex
Exponential dispersion models, which are linear exponential families with a dispersion parameter, ar...
In this paper, we introduce several test statistics testing the null hypothesis of a random walk (wi...
We introduce a class of multivariate dispersion models suitable as error distributions for generaliz...
This paper considers the issue of testing for varying dispersion in exponential family nonlinear mod...
Homogeneity of dispersion parameters is a standard assumption in inverse Gaussian regression analysi...
In this paper we obtain asymptotic expansions up to order n(-1/2) for the nonnull distribution funct...
Likelihood ratio tests can be substantially size distorted in small- and moderate-sized samples. In ...
It is known that the Fisher scoring iteration for generalized linear models has the same form as the...
AbstractIn this paper we obtain asymptotic expansions up to order n−1/2 for the nonnull distribution...
Under suitable regularity conditions, an appropriate improved score statistic was derived recently b...
Doctor of PhilosophyDepartment of StatisticsJames NeillThe problem of testing for lack of fit in exp...
This paper focuses on second order asymptotic theory for score tests in exponential family nonlinear...
When dealing with exponential family distributions, a constant dispersion is often assumed since it...
by Lam Man Kin.Thesis (M.Phil.)--Chinese University of Hong Kong, 1990.Bibliography: leaves 69-71.Ch...
Exponential family statistical distributions, including the well-known normal, binomial, Poisson, a...
Exponential dispersion models, which are linear exponential families with a dispersion parameter, ar...
In this paper, we introduce several test statistics testing the null hypothesis of a random walk (wi...
We introduce a class of multivariate dispersion models suitable as error distributions for generaliz...
This paper considers the issue of testing for varying dispersion in exponential family nonlinear mod...
Homogeneity of dispersion parameters is a standard assumption in inverse Gaussian regression analysi...
In this paper we obtain asymptotic expansions up to order n(-1/2) for the nonnull distribution funct...
Likelihood ratio tests can be substantially size distorted in small- and moderate-sized samples. In ...
It is known that the Fisher scoring iteration for generalized linear models has the same form as the...
AbstractIn this paper we obtain asymptotic expansions up to order n−1/2 for the nonnull distribution...
Under suitable regularity conditions, an appropriate improved score statistic was derived recently b...
Doctor of PhilosophyDepartment of StatisticsJames NeillThe problem of testing for lack of fit in exp...
This paper focuses on second order asymptotic theory for score tests in exponential family nonlinear...
When dealing with exponential family distributions, a constant dispersion is often assumed since it...
by Lam Man Kin.Thesis (M.Phil.)--Chinese University of Hong Kong, 1990.Bibliography: leaves 69-71.Ch...
Exponential family statistical distributions, including the well-known normal, binomial, Poisson, a...
Exponential dispersion models, which are linear exponential families with a dispersion parameter, ar...
In this paper, we introduce several test statistics testing the null hypothesis of a random walk (wi...
We introduce a class of multivariate dispersion models suitable as error distributions for generaliz...