AbstractFor the p-variate Poisson mean, under the sum of weighted squared error losses, weights being reciprocals of variances, a class of proper Bayes minimax estimates dominating the usual estimate, namely the sample mean is produced. An example is given to illustrate this. The interrelation of our results with those of Clevenson and Zidek is pointed out
Admissible linear estimators Mx+γ must be pointwise limits of Bayes estimators. Using properties of ...
Basic decision theory for discrete random variables of the multivariate geometric (power series) typ...
This paper is concerned with estimation of means of several independent Poisson distributions under ...
AbstractFor the p-variate Poisson mean, under the sum of weighted squared error losses, weights bein...
For the p-variate Poisson mean, under the sum of weighted squared error losses, weights being recipr...
This paper is devoted to the multivariate estimation of a vector of Poisson means. A novel loss func...
This thesis is devoted to the simultaneous estimation of the means of p> 1 independent Poisson di...
This work is devoted to simultaneously estimating the parameters of the distributions of several ind...
This work is devoted to simultaneously estimating the parameters of the distributions of several ind...
AbstractWe construct a broad class of generalized Bayes minimax estimators of the mean of a multivar...
This thesis deals with three point estimation problems where the random variables are assumed to be ...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...
AbstractIn the simultaneous estimation of means from independent Poisson distributions, an estimator...
Basic decision theory for discrete random variables of the multivariate geometric (power series) typ...
Admissible linear estimators Mx+γ must be pointwise limits of Bayes estimators. Using properties of ...
Admissible linear estimators Mx+γ must be pointwise limits of Bayes estimators. Using properties of ...
Basic decision theory for discrete random variables of the multivariate geometric (power series) typ...
This paper is concerned with estimation of means of several independent Poisson distributions under ...
AbstractFor the p-variate Poisson mean, under the sum of weighted squared error losses, weights bein...
For the p-variate Poisson mean, under the sum of weighted squared error losses, weights being recipr...
This paper is devoted to the multivariate estimation of a vector of Poisson means. A novel loss func...
This thesis is devoted to the simultaneous estimation of the means of p> 1 independent Poisson di...
This work is devoted to simultaneously estimating the parameters of the distributions of several ind...
This work is devoted to simultaneously estimating the parameters of the distributions of several ind...
AbstractWe construct a broad class of generalized Bayes minimax estimators of the mean of a multivar...
This thesis deals with three point estimation problems where the random variables are assumed to be ...
AbstractIn three or more dimensions it is well known that the usual point estimator for the mean of ...
AbstractIn the simultaneous estimation of means from independent Poisson distributions, an estimator...
Basic decision theory for discrete random variables of the multivariate geometric (power series) typ...
Admissible linear estimators Mx+γ must be pointwise limits of Bayes estimators. Using properties of ...
Admissible linear estimators Mx+γ must be pointwise limits of Bayes estimators. Using properties of ...
Basic decision theory for discrete random variables of the multivariate geometric (power series) typ...
This paper is concerned with estimation of means of several independent Poisson distributions under ...