AbstractWe investigate conditions under which estimators of the form X + aU′Ug(X) dominate X when X, a p × 1 vector, and U, an m × 1 vector, are distributed such that [X1, X2,…, Xp, U1, U2,…, Up]′σ has a spherically symmetric distribution about [θ1, θ2,…, θp, 0, 0,…, 0]′, where σ is an unknown scale. Brandwein and Strawderman [2] have results for quadratic loss and we extend these results to concave functions of quadratic loss and to general quadratic loss
We study estimation of a location vector restricted to a convex cone when the dimension, p, is at le...
AbstractThe estimation of the location parameter of a spherically symmetric distribution was greatly...
Consider the problem of estimating the mean vector [theta] of a random variable X in , with a spheri...
AbstractWe investigate conditions under which estimators of the form X + aU′Ug(X) dominate X when X,...
AbstractEstimation of the location parameters of a p×1 random vector X̲ with a spherically symmetric...
Estimation of the location parameters of a px1 random vector with a spherically symmetric distributi...
AbstractFor the problem of estimating under squared error loss the location parameter of a p-variate...
AbstractLet X be a p-dimensional random vector with density f(‖X−θ‖) where θ is an unknown location ...
For the problem of estimating under squared error loss the location parameter of a p-variate spheric...
AbstractWe consider estimation of a location vector in the presence of known or unknown scale parame...
AbstractThis paper is primarily concerned with extending the results of Brandwein and Strawderman in...
This book provides a coherent framework for understanding shrinkage estimation in statistics. The te...
AbstractFamilies of minimax estimators are found for the location parameters of a p-variate distribu...
AbstractDawid (1973,Biometrika60, 664–666) stated conditions in the univariate location model with k...
AbstractLet X1,…,Xn be i.i.d. random vectors in Rm, let θϵRm be an unknown location parameter, and a...
We study estimation of a location vector restricted to a convex cone when the dimension, p, is at le...
AbstractThe estimation of the location parameter of a spherically symmetric distribution was greatly...
Consider the problem of estimating the mean vector [theta] of a random variable X in , with a spheri...
AbstractWe investigate conditions under which estimators of the form X + aU′Ug(X) dominate X when X,...
AbstractEstimation of the location parameters of a p×1 random vector X̲ with a spherically symmetric...
Estimation of the location parameters of a px1 random vector with a spherically symmetric distributi...
AbstractFor the problem of estimating under squared error loss the location parameter of a p-variate...
AbstractLet X be a p-dimensional random vector with density f(‖X−θ‖) where θ is an unknown location ...
For the problem of estimating under squared error loss the location parameter of a p-variate spheric...
AbstractWe consider estimation of a location vector in the presence of known or unknown scale parame...
AbstractThis paper is primarily concerned with extending the results of Brandwein and Strawderman in...
This book provides a coherent framework for understanding shrinkage estimation in statistics. The te...
AbstractFamilies of minimax estimators are found for the location parameters of a p-variate distribu...
AbstractDawid (1973,Biometrika60, 664–666) stated conditions in the univariate location model with k...
AbstractLet X1,…,Xn be i.i.d. random vectors in Rm, let θϵRm be an unknown location parameter, and a...
We study estimation of a location vector restricted to a convex cone when the dimension, p, is at le...
AbstractThe estimation of the location parameter of a spherically symmetric distribution was greatly...
Consider the problem of estimating the mean vector [theta] of a random variable X in , with a spheri...