Add to ORKGThe problems with which we are concerned in this note are those of identifiability and strongly consistent estimates for mixing measures of a finite mixture of distribution functions. We show that the identifiability is a necessary and sufficient condition for the existence of a strongly consistent estimate of the mixing measure. An estimator for the mixing measure of a finite mixture of distribution functions is proposed and its strong consistency is proven
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
The aim is to study the asymptotic behavior of estimators and tests for the components of identifiab...
An often-cited fact regarding mixing or mixture distributions is that their density functions are ab...
This issue was undated. The date given is an estimate.18 pages, 1 article*Identifiability and Strong...
This issue was undated. The date given is an estimate.7 pages, 1 article*Strongly Consistent Estimat...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
Abstract: This paper studies identifiability and convergence behaviors for parameters of multiple ty...
We consider representations of a joint distribution law of a family of categorical random ...
This issue was undated. The date given is an estimate.11 pages, 1 article*Strongly Consistent Estima...
This thesis studies two types of research problems under finite mixture models. The first type is mi...
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable,...
Identifiability is a necessary condition for the existence of consistent estimates for the parameter...
We present general results on the identifiability of finite mixtures of elliptical distrib-utions un...
Abstract. The concept of the identifiability of mixtures of distributions is discussed and a suffici...
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
The aim is to study the asymptotic behavior of estimators and tests for the components of identifiab...
An often-cited fact regarding mixing or mixture distributions is that their density functions are ab...
This issue was undated. The date given is an estimate.18 pages, 1 article*Identifiability and Strong...
This issue was undated. The date given is an estimate.7 pages, 1 article*Strongly Consistent Estimat...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
Abstract: This paper studies identifiability and convergence behaviors for parameters of multiple ty...
We consider representations of a joint distribution law of a family of categorical random ...
This issue was undated. The date given is an estimate.11 pages, 1 article*Strongly Consistent Estima...
This thesis studies two types of research problems under finite mixture models. The first type is mi...
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable,...
Identifiability is a necessary condition for the existence of consistent estimates for the parameter...
We present general results on the identifiability of finite mixtures of elliptical distrib-utions un...
Abstract. The concept of the identifiability of mixtures of distributions is discussed and a suffici...
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
The aim is to study the asymptotic behavior of estimators and tests for the components of identifiab...
An often-cited fact regarding mixing or mixture distributions is that their density functions are ab...