Add to ORKGWe give an equivalent definition of Pitman’s closeness criterion, in terms of medians of the difference of loss functions. Based on that definition, we present some relations between Pitman’s closeness and usual decision theo-retical framework, then a result which enables comparison of estimators with a presence of a positive or negative association, and a Rao-Blackwell type result related to improving estimators by a conditioning. 1
In a multiparameter estimation problem, for first-order efficient estimators, second-order Pitman ad...
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...
Pitman's measure of closeness, closest estimator, Stein-type estimator, Brown-type estimator, equiva...
In this paper, the robust Bayesian methodology has been developed in the sense of Pitman measure of ...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
A general method for determining Pitman Nearness is given In the case of univariate estimators. This...
Motivated by the first-order Pitman closeness of best asymptotically normal estimators and some rece...
Abstract: We use the Pitman-closeness criterion to evaluate the performance of multivariate forecast...
We specify the Pitman-closeness criterion for the evaluation of multivariate forecasts in three cate...
For a large class of distributions and large samples, it is shown that estimates of the variance σ2 ...
According to Pitman (1937), an estimator X is closer than an estimator Y to a scalar parameter [thet...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
We use the Pitman-closeness criterion to evaluate the performance of multivariate forecasting method...
In the presence of multicollinearity, the r - k class estimator is proposed as an alternative to the...
In a multiparameter estimation problem, for first-order efficient estimators, second-order Pitman ad...
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...
Pitman's measure of closeness, closest estimator, Stein-type estimator, Brown-type estimator, equiva...
In this paper, the robust Bayesian methodology has been developed in the sense of Pitman measure of ...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
A general method for determining Pitman Nearness is given In the case of univariate estimators. This...
Motivated by the first-order Pitman closeness of best asymptotically normal estimators and some rece...
Abstract: We use the Pitman-closeness criterion to evaluate the performance of multivariate forecast...
We specify the Pitman-closeness criterion for the evaluation of multivariate forecasts in three cate...
For a large class of distributions and large samples, it is shown that estimates of the variance σ2 ...
According to Pitman (1937), an estimator X is closer than an estimator Y to a scalar parameter [thet...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
We use the Pitman-closeness criterion to evaluate the performance of multivariate forecasting method...
In the presence of multicollinearity, the r - k class estimator is proposed as an alternative to the...
In a multiparameter estimation problem, for first-order efficient estimators, second-order Pitman ad...
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...