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
AbstractIn statistical estimation problems measures between probability distributions play significa...
This paper )+O(1) Non-explicit [10,9] )+O(1) Lower bound [6, 9] 2. Preliminaries 2.1...
AbstractThe Fréchet distance between two multivariate normal distributions having means μX, μY and c...
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...
The central limit theorem and limit theorems for rarity require measures of normality and exponentia...
Given an exponential distribution g(x) and the information in terms of moments of the random variabl...
An estimator that minimizes an L2 distance used in studies of estimation of the location parameter i...
We consider estimating densities that are location or location-scale mixtures of kernels in the fami...
In this work we consider estimating densities that are location or location-scale mixtures of kernel...
AbstractLet Y be an absolutely continuous random variable and W a nonnegative variable independent o...
Mixture distributions arise in many parametric and non-parametric settings—for example, in Gaussian ...
AbstractFisher's method of maximum likelihood breaks down when applied to the problem of estimating ...
AbstractIn statistical estimation problems measures between probability distributions play significa...
This paper )+O(1) Non-explicit [10,9] )+O(1) Lower bound [6, 9] 2. Preliminaries 2.1...
AbstractThe Fréchet distance between two multivariate normal distributions having means μX, μY and c...
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...
The central limit theorem and limit theorems for rarity require measures of normality and exponentia...
Given an exponential distribution g(x) and the information in terms of moments of the random variabl...
An estimator that minimizes an L2 distance used in studies of estimation of the location parameter i...
We consider estimating densities that are location or location-scale mixtures of kernels in the fami...
In this work we consider estimating densities that are location or location-scale mixtures of kernel...
AbstractLet Y be an absolutely continuous random variable and W a nonnegative variable independent o...
Mixture distributions arise in many parametric and non-parametric settings—for example, in Gaussian ...
AbstractFisher's method of maximum likelihood breaks down when applied to the problem of estimating ...
AbstractIn statistical estimation problems measures between probability distributions play significa...
This paper )+O(1) Non-explicit [10,9] )+O(1) Lower bound [6, 9] 2. Preliminaries 2.1...
AbstractThe Fréchet distance between two multivariate normal distributions having means μX, μY and c...