Add to ORKGThe log likelihood ratio is expanded for testing a simple null hypothesis against a sequence of alternative hypotheses in which the observations are sampled from a mixture of distributions located near the null hypothesis. The test criteria depends on the mixing distribution only through its variance and is approximately normally distributed under both hypotheses.mixture of distributions tests of homogeneity likelihood ratio tests close alternative hypothesis
Ascertaining the number of components in a mixture distribution is an interesting and challenging pr...
Abstract. Statistical models of unobserved heterogeneity are typically formalized as mix-tures of si...
This article concerns with the problem of testing whether a mixture of two normal distributions with...
The log likelihood ratio is expanded for testing a sequence of multinomial null hypotheses against a...
The test for homogeneity in the mixture normal model is difficult to study due to the breakdown of t...
Determining the number of components in a mixture distribution is of interest to researchers in many...
24 pagesInternational audienceThis paper deals with the likelihood ratio test (LRT) for testing hypo...
AbstractThis paper investigates the asymptotic properties of the likelihood ratio statistic for test...
Although the asymptotic distributions of the likelihood ratio for testing hypotheses of null varianc...
This paper deals with the likelihood ratio test (LRT) for testing hypotheses on the mixing measure ...
AbstractWe develop methods to compare multiple multivariate normally distributed samples which may b...
We develop methods to compare multiple multivariate normally distributed samples which may be correl...
In this paper, we consider the log-likelihood ratio test (LRT) for testing the number of components ...
In a likelihood-ratio test for a two-component Normal location mixture, the natural parametrisation ...
Testing for homogeneity in finite mixture models has been investigated by many authors. The asymptot...
Ascertaining the number of components in a mixture distribution is an interesting and challenging pr...
Abstract. Statistical models of unobserved heterogeneity are typically formalized as mix-tures of si...
This article concerns with the problem of testing whether a mixture of two normal distributions with...
The log likelihood ratio is expanded for testing a sequence of multinomial null hypotheses against a...
The test for homogeneity in the mixture normal model is difficult to study due to the breakdown of t...
Determining the number of components in a mixture distribution is of interest to researchers in many...
24 pagesInternational audienceThis paper deals with the likelihood ratio test (LRT) for testing hypo...
AbstractThis paper investigates the asymptotic properties of the likelihood ratio statistic for test...
Although the asymptotic distributions of the likelihood ratio for testing hypotheses of null varianc...
This paper deals with the likelihood ratio test (LRT) for testing hypotheses on the mixing measure ...
AbstractWe develop methods to compare multiple multivariate normally distributed samples which may b...
We develop methods to compare multiple multivariate normally distributed samples which may be correl...
In this paper, we consider the log-likelihood ratio test (LRT) for testing the number of components ...
In a likelihood-ratio test for a two-component Normal location mixture, the natural parametrisation ...
Testing for homogeneity in finite mixture models has been investigated by many authors. The asymptot...
Ascertaining the number of components in a mixture distribution is an interesting and challenging pr...
Abstract. Statistical models of unobserved heterogeneity are typically formalized as mix-tures of si...
This article concerns with the problem of testing whether a mixture of two normal distributions with...