A general method for determining Pitman Nearness is given In the case of univariate estimators. This method is then applied to some estimation problems. The concept of Pitman Nearness is also generalized to the multivariate case. The James-Stein estimators are used to illustrate the multivariate comparison
Motivated by the first-order Pitman closeness of best asymptotically normal estimators and some rece...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
[[abstract]]For estimating a normal variance under squared error loss function it is well known that...
A general method for determining Pitman Nearness is given In the case of univariate estimators. This...
The iterative Stein-rule estimator and the usual estimator of the error variance are compared under ...
Pitman's measure of closeness, closest estimator, Stein-type estimator, Brown-type estimator, equiva...
We specify the Pitman-closeness criterion for the evaluation of multivariate forecasts in three cate...
In a linear regression model with proxy variables, the iterative Stein-rule estimator and the usual ...
In a multiparameter estimation problem, for first-order efficient estimators, second-order Pitman ad...
AbstractIn a multiparameter estimation problem, for first-order efficient estimators, second-order P...
We give an equivalent definition of Pitman’s closeness criterion, in terms of medians of the differe...
Abstract: We use the Pitman-closeness criterion to evaluate the performance of multivariate forecast...
We use the Pitman-closeness criterion to evaluate the performance of multivariate forecasting method...
計畫編號：NSC89-2118-M163-001 研究期間：200008~200107 研究經費：229,000[[abstract]]For estimating a normal variance...
In this paper, the robust Bayesian methodology has been developed in the sense of Pitman measure of ...
Motivated by the first-order Pitman closeness of best asymptotically normal estimators and some rece...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
[[abstract]]For estimating a normal variance under squared error loss function it is well known that...
A general method for determining Pitman Nearness is given In the case of univariate estimators. This...
The iterative Stein-rule estimator and the usual estimator of the error variance are compared under ...
Pitman's measure of closeness, closest estimator, Stein-type estimator, Brown-type estimator, equiva...
We specify the Pitman-closeness criterion for the evaluation of multivariate forecasts in three cate...
In a linear regression model with proxy variables, the iterative Stein-rule estimator and the usual ...
In a multiparameter estimation problem, for first-order efficient estimators, second-order Pitman ad...
AbstractIn a multiparameter estimation problem, for first-order efficient estimators, second-order P...
We give an equivalent definition of Pitman’s closeness criterion, in terms of medians of the differe...
Abstract: We use the Pitman-closeness criterion to evaluate the performance of multivariate forecast...
We use the Pitman-closeness criterion to evaluate the performance of multivariate forecasting method...
計畫編號：NSC89-2118-M163-001 研究期間：200008~200107 研究經費：229,000[[abstract]]For estimating a normal variance...
In this paper, the robust Bayesian methodology has been developed in the sense of Pitman measure of ...
Motivated by the first-order Pitman closeness of best asymptotically normal estimators and some rece...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
[[abstract]]For estimating a normal variance under squared error loss function it is well known that...
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