This paper deals with the likelihood ratio test (LRT) for testing hypotheses on the mixing measure in mixture models with or without structural parameter. The main result gives the asymptotic distribution of the LRT statistics under some conditions that are proved to be almost necessary. A detailed solution is given for two testing problems: the test of a single distribution against any mixture, with application to Gaussian, Poisson and binomial distributions; the test of the number of populations in a finite mixture with or without structural parameter
Abstract Ascertaining the number of components in a mixture distribution is an interesting and chall...
We examine the likelihood ratio (LR) statistic testing for the mixture hypothesis when the mixtures ...
In this thesis, we consider the likelihood ratio test (LRT) when testing for homogeneity in a three ...
This paper deals with the likelihood ratio test (LRT) for testing hypotheses on the mixing measure ...
24 pagesInternational audienceThis paper deals with the likelihood ratio test (LRT) for testing hypo...
International audienceThe aim of this paper was to calculate asymptotic threshold and power of likel...
In this paper, we consider the log-likelihood ratio test (LRT) for testing the number of components ...
Testing for homogeneity in finite mixture models has been investigated by many authors. The asymptot...
The test for homogeneity in the mixture normal model is difficult to study due to the breakdown of t...
AbstractThis paper investigates the asymptotic properties of the likelihood ratio statistic for test...
Abstract. We study the LRT statistic for testing a single population i.i.d. model against a mixture ...
The log likelihood ratio is expanded for testing a simple null hypothesis against a sequence of alte...
Abstract. Statistical models of unobserved heterogeneity are typically formalized as mix-tures of si...
Ascertaining the number of components in a mixture distribution is an interesting and challenging pr...
Determining the number of components in a mixture distribution is of interest to researchers in many...
Abstract Ascertaining the number of components in a mixture distribution is an interesting and chall...
We examine the likelihood ratio (LR) statistic testing for the mixture hypothesis when the mixtures ...
In this thesis, we consider the likelihood ratio test (LRT) when testing for homogeneity in a three ...
This paper deals with the likelihood ratio test (LRT) for testing hypotheses on the mixing measure ...
24 pagesInternational audienceThis paper deals with the likelihood ratio test (LRT) for testing hypo...
International audienceThe aim of this paper was to calculate asymptotic threshold and power of likel...
In this paper, we consider the log-likelihood ratio test (LRT) for testing the number of components ...
Testing for homogeneity in finite mixture models has been investigated by many authors. The asymptot...
The test for homogeneity in the mixture normal model is difficult to study due to the breakdown of t...
AbstractThis paper investigates the asymptotic properties of the likelihood ratio statistic for test...
Abstract. We study the LRT statistic for testing a single population i.i.d. model against a mixture ...
The log likelihood ratio is expanded for testing a simple null hypothesis against a sequence of alte...
Abstract. Statistical models of unobserved heterogeneity are typically formalized as mix-tures of si...
Ascertaining the number of components in a mixture distribution is an interesting and challenging pr...
Determining the number of components in a mixture distribution is of interest to researchers in many...
Abstract Ascertaining the number of components in a mixture distribution is an interesting and chall...
We examine the likelihood ratio (LR) statistic testing for the mixture hypothesis when the mixtures ...
In this thesis, we consider the likelihood ratio test (LRT) when testing for homogeneity in a three ...