Add to ORKGIn the empirical Bayes (EB) decision problem consisting of squared error estimation of a Poisson mean, a prior distribution [lambda] is placed on the gamma family of prior distributions to produce Bayes EB estimators which are admissible. A subclass of such estimators is shown to be asymptotically optimal (a.o.). The results of a Monte Carlo study are presented to demonstrate the favorable a.o. property of the Bayes EB estimators in comparison with other competitors.admissible asymptotic optimality empirical Bayes
The problem of selecting the population with the largest mean from among $k({\ge2})$ independent pop...
Bayes risk, Δ-asymptotic optimality, binomial and hypergeometric models, priorhyperprior approach, s...
In the present paper, the EB two-action problem under the linear error loss is considered for the fa...
This thesis examines a modified empirical Bayes decision problem in which the a priori distribution ...
The empirical Bayes approach was introduced by Robbins (1956, 1964). Since then, it has become a pow...
For the p-variate Poisson mean, under the sum of weighted squared error losses, weights being recipr...
Suppose one wishes to estimate the parameter [theta] in a current experiment when one also has in ha...
Consider an experiment yielding an observable random quantity X whose distri-bution Fθ depends on a ...
Consider an experiment yielding an observable random quantity X whose distri-bution Fθ depends on a ...
The outcomes of counts commonly occur in the area of disease mapping for mortality rates or disease ...
The dissertation deals with some empirical Bayes test procedures and statistical selection and ranki...
SUMMARY. This paper deals with empirical Bayes selection procedures for selecting good exponential p...
Poisson means, multiple, empirical Bayes, maximum likelihood, limited translation estimators,
AbstractFor the p-variate Poisson mean, under the sum of weighted squared error losses, weights bein...
In this paper we introduce an empirical Bayes procedure for estimating an unknown parameter, say θ. ...
The problem of selecting the population with the largest mean from among $k({\ge2})$ independent pop...
Bayes risk, Δ-asymptotic optimality, binomial and hypergeometric models, priorhyperprior approach, s...
In the present paper, the EB two-action problem under the linear error loss is considered for the fa...
This thesis examines a modified empirical Bayes decision problem in which the a priori distribution ...
The empirical Bayes approach was introduced by Robbins (1956, 1964). Since then, it has become a pow...
For the p-variate Poisson mean, under the sum of weighted squared error losses, weights being recipr...
Suppose one wishes to estimate the parameter [theta] in a current experiment when one also has in ha...
Consider an experiment yielding an observable random quantity X whose distri-bution Fθ depends on a ...
Consider an experiment yielding an observable random quantity X whose distri-bution Fθ depends on a ...
The outcomes of counts commonly occur in the area of disease mapping for mortality rates or disease ...
The dissertation deals with some empirical Bayes test procedures and statistical selection and ranki...
SUMMARY. This paper deals with empirical Bayes selection procedures for selecting good exponential p...
Poisson means, multiple, empirical Bayes, maximum likelihood, limited translation estimators,
AbstractFor the p-variate Poisson mean, under the sum of weighted squared error losses, weights bein...
In this paper we introduce an empirical Bayes procedure for estimating an unknown parameter, say θ. ...
The problem of selecting the population with the largest mean from among $k({\ge2})$ independent pop...
Bayes risk, Δ-asymptotic optimality, binomial and hypergeometric models, priorhyperprior approach, s...
In the present paper, the EB two-action problem under the linear error loss is considered for the fa...