In this paper, we study the method of moments estimation in a finite mixture where the mixing distribution is supported on [0, 1], and the number of support points is fixed. We prove the validity of the modification method proposed by Lindsay (1989). Further, we demonstrate that the modified estimator is weakly consistent and that its convergence rate is N-1/2(log log N)1/2
Bounds for even moments of sums of strong mixing random variables are given which extend existing bo...
The aim of this paper is to provide simple nonparametric methods to estimate finitemixture models fr...
AbstractBounds for even moments of sums of strong mixing random variables are given which extend exi...
In this paper, we study the method of moments estimation in a finite mixture where the mixing distri...
The method of moments (MM) has been widely used for parametric estimation, as it is often computatio...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
A finite mixture distribution consists of the superposition of a finite number of component probabil...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
This thesis studies two types of research problems under finite mixture models. The first type is mi...
Mixture models occur in numerous settings including random and fixed effects models, clustering, dec...
Constructing estimators for the parameters of a mixture of distributions has attracted many statisti...
We revisit the classical problem of deriving convergence rates for the maximum likelihood estimator ...
This paper provides methods to estimate finite mixtures from data with repeated measurements non-par...
Abstract. Procedures for improving weighted empirical distribution functions constructed from mixtu...
The problems with which we are concerned in this note are those of identifiability and strongly cons...
Bounds for even moments of sums of strong mixing random variables are given which extend existing bo...
The aim of this paper is to provide simple nonparametric methods to estimate finitemixture models fr...
AbstractBounds for even moments of sums of strong mixing random variables are given which extend exi...
In this paper, we study the method of moments estimation in a finite mixture where the mixing distri...
The method of moments (MM) has been widely used for parametric estimation, as it is often computatio...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
A finite mixture distribution consists of the superposition of a finite number of component probabil...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
This thesis studies two types of research problems under finite mixture models. The first type is mi...
Mixture models occur in numerous settings including random and fixed effects models, clustering, dec...
Constructing estimators for the parameters of a mixture of distributions has attracted many statisti...
We revisit the classical problem of deriving convergence rates for the maximum likelihood estimator ...
This paper provides methods to estimate finite mixtures from data with repeated measurements non-par...
Abstract. Procedures for improving weighted empirical distribution functions constructed from mixtu...
The problems with which we are concerned in this note are those of identifiability and strongly cons...
Bounds for even moments of sums of strong mixing random variables are given which extend existing bo...
The aim of this paper is to provide simple nonparametric methods to estimate finitemixture models fr...
AbstractBounds for even moments of sums of strong mixing random variables are given which extend exi...