DOIAbstract
Pitman's measure of closeness, closest estimator, Stein-type estimator, Brown-type estimator, equivariant estimator, loss function, testimator,
Pitman's measure of closeness, closest estimator, Stein-type estimator, Brown-type estimator, equivariant estimator, loss function, testimator,
The iterative Stein-rule estimator and the usual estimator of the error variance are compared under ...
In a linear regression model with proxy variables, the iterative Stein-rule estimator and the usual ...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
We give an equivalent definition of Pitman’s closeness criterion, in terms of medians of the differe...
A general method for determining Pitman Nearness is given In the case of univariate estimators. This...
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...
Batah et al. (2009) combined the unbiased ridge estimator and principal components regression estima...
For a large class of distributions and large samples, it is shown that estimates of the variance σ2 ...
Motivated by the first-order Pitman closeness of best asymptotically normal estimators and some rece...
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 a multiparameter estimation problem, for first-order efficient estimators, second-order Pitman ad...
According to Pitman (1937), an estimator X is closer than an estimator Y to a scalar parameter [thet...
In the presence of multicollinearity, the r - k class estimator is proposed as an alternative to the...
In this paper, the robust Bayesian methodology has been developed in the sense of Pitman measure of ...
The iterative Stein-rule estimator and the usual estimator of the error variance are compared under ...
In a linear regression model with proxy variables, the iterative Stein-rule estimator and the usual ...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
We give an equivalent definition of Pitman’s closeness criterion, in terms of medians of the differe...
A general method for determining Pitman Nearness is given In the case of univariate estimators. This...
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...
Batah et al. (2009) combined the unbiased ridge estimator and principal components regression estima...
For a large class of distributions and large samples, it is shown that estimates of the variance σ2 ...
Motivated by the first-order Pitman closeness of best asymptotically normal estimators and some rece...
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 a multiparameter estimation problem, for first-order efficient estimators, second-order Pitman ad...
According to Pitman (1937), an estimator X is closer than an estimator Y to a scalar parameter [thet...
In the presence of multicollinearity, the r - k class estimator is proposed as an alternative to the...
In this paper, the robust Bayesian methodology has been developed in the sense of Pitman measure of ...
The iterative Stein-rule estimator and the usual estimator of the error variance are compared under ...
In a linear regression model with proxy variables, the iterative Stein-rule estimator and the usual ...
We consider Pitman-closeness to evaluate the performance of forecasting methods. Optimal weights for...
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