AbstractIn a previous paper in this Journal, Heyde and Leslie [6] examined moment measures of the distance of a mixture from its parent distribution. They confined their attention to the case where the parent distribution is either normal or exponential, and related the moment measures to the more familiar uniform distance between distributions. In this paper we improve on their results by sharpening one of their inequalities. We then use new techniques to extend their investigation to a larger class of parent distributions
ABSTRACT: Some alternative proofs of the inequalities between the moments of the discrete probabili...
There are efficient software programs for extracting from image sequences certain mixtures of distri...
A simple relationship between expectations of positive functions of random variables from truncated ...
AbstractIn a previous paper in this Journal, Heyde and Leslie [6] examined moment measures of the di...
Mixtures of distributions frequently appear in the theory and applications of proba-bility and stati...
In this paper we consider mixtures of distributions from a natural exponential family. Using an adeq...
AbstractFor scale mixtures of distributions it is possible to prescribe simple moment measures of di...
An estimator that minimizes an L2 distance used in studies of estimation of the location parameter i...
Given an exponential distribution g(x) and the information in terms of moments of the random variabl...
A finite mixture distribution consists of the superposition of a finite number of component probabil...
Mixture distributions arise in many parametric and non-parametric settings—for example, in Gaussian ...
7 pages, 1 article*Some Remarks on the Use of Moment Estimators for the Parameters of a Mixture of T...
The central limit theorem and limit theorems for rarity require measures of normality and exponentia...
AbstractIn statistical estimation problems measures between probability distributions play significa...
In this note, we study the first four moments of the MUB random variable, that is a mixture of two d...
ABSTRACT: Some alternative proofs of the inequalities between the moments of the discrete probabili...
There are efficient software programs for extracting from image sequences certain mixtures of distri...
A simple relationship between expectations of positive functions of random variables from truncated ...
AbstractIn a previous paper in this Journal, Heyde and Leslie [6] examined moment measures of the di...
Mixtures of distributions frequently appear in the theory and applications of proba-bility and stati...
In this paper we consider mixtures of distributions from a natural exponential family. Using an adeq...
AbstractFor scale mixtures of distributions it is possible to prescribe simple moment measures of di...
An estimator that minimizes an L2 distance used in studies of estimation of the location parameter i...
Given an exponential distribution g(x) and the information in terms of moments of the random variabl...
A finite mixture distribution consists of the superposition of a finite number of component probabil...
Mixture distributions arise in many parametric and non-parametric settings—for example, in Gaussian ...
7 pages, 1 article*Some Remarks on the Use of Moment Estimators for the Parameters of a Mixture of T...
The central limit theorem and limit theorems for rarity require measures of normality and exponentia...
AbstractIn statistical estimation problems measures between probability distributions play significa...
In this note, we study the first four moments of the MUB random variable, that is a mixture of two d...
ABSTRACT: Some alternative proofs of the inequalities between the moments of the discrete probabili...
There are efficient software programs for extracting from image sequences certain mixtures of distri...
A simple relationship between expectations of positive functions of random variables from truncated ...