We address the problem of existence of unbiased constrained parameter estimators. We show that if the constrained set of parameters is compact and the hypothesized distributions are absolutely continuous with respect to one another, then there exists no unbiased estimator.Weaker conditions for the absence of unbiased constrained estimators are also specified. We provide several examples which demonstrate the utility of these conditions
In many nonparametric problems, such as density estimation, nonparametric regression and so on, all ...
A simple expression for the Cram'er-Rao bound (CRB) is presented for the scenario of estimating para...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
We address the problem of existence of unbiased constrained parameter estimators. We show that if th...
In constrained parameter estimation, the classical constrained Cramer-Rao bound (CCRB) and the recen...
The aim of this letter is to provide a constrained version of the misspecified Cramér-Rao bound (MCR...
The aim of this letter is to provide a constrained version of the misspecified Cramér-Rao bound (MCR...
Adopting a measure of dispersion proposed by Alamo [1964], and extending the analysis in Stangenhaus...
The aim of this letter is to provide a constrained version of the misspecified Cramér-Rao bound (MCR...
It is observed that unbiased estimators are always inadmissible when the parameter (or function of t...
Parameter constraints are employed in a variety of situations in multidimensional estimation problem...
In mean-unbiased estimation we normally prefer an estimator, in the class of mean-unbiased estimator...
We review some of the recent results obtained for constrained estimation, involving possibly nondiff...
Abstract—The problem considered in this letter is to bound the performance of estimators of a determ...
The Barankin bound is locally the greatest possible lower bound for the variance of any unbiased est...
In many nonparametric problems, such as density estimation, nonparametric regression and so on, all ...
A simple expression for the Cram'er-Rao bound (CRB) is presented for the scenario of estimating para...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
We address the problem of existence of unbiased constrained parameter estimators. We show that if th...
In constrained parameter estimation, the classical constrained Cramer-Rao bound (CCRB) and the recen...
The aim of this letter is to provide a constrained version of the misspecified Cramér-Rao bound (MCR...
The aim of this letter is to provide a constrained version of the misspecified Cramér-Rao bound (MCR...
Adopting a measure of dispersion proposed by Alamo [1964], and extending the analysis in Stangenhaus...
The aim of this letter is to provide a constrained version of the misspecified Cramér-Rao bound (MCR...
It is observed that unbiased estimators are always inadmissible when the parameter (or function of t...
Parameter constraints are employed in a variety of situations in multidimensional estimation problem...
In mean-unbiased estimation we normally prefer an estimator, in the class of mean-unbiased estimator...
We review some of the recent results obtained for constrained estimation, involving possibly nondiff...
Abstract—The problem considered in this letter is to bound the performance of estimators of a determ...
The Barankin bound is locally the greatest possible lower bound for the variance of any unbiased est...
In many nonparametric problems, such as density estimation, nonparametric regression and so on, all ...
A simple expression for the Cram'er-Rao bound (CRB) is presented for the scenario of estimating para...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...