Add to ORKGSUMMARY. This paper deals with empirical Bayes selection procedures for selecting good exponential populations compared with a control. Based on the accumulated historical data, an empirical Bayes selection procedure δ n is constructed by mimicking the behavior of a Bayes selection procedure. The empirical Bayes selection procedure δ n is proved to be asymptot-ically optimal. The analysis shows that the rate of convergence of δ n is influenced by the tail probabilities of the underlying distributions. It is shown that under certain regularity conditions on the moments of the prior distribution, the empirical Bayes selection procedur
rank:fng and select.ion; shr.inkage In the problem of selecting the best of k populations, Olkin, So...
summary:In this paper empirical Bayes methods are applied to construct selection rules for the selec...
[[abstract]]Consider k(k~2) populations whose meanei and variance a} are all unknown. For given cont...
In this paper, we derive statistical selection procedures to partition k normal popu-lations into &q...
The dissertation deals with some empirical Bayes test procedures and statistical selection and ranki...
Assume that there are k ( 2≥k) populations kππ,,1 L such that the distribution of iπ is an exponenti...
[[abstract]]Assume that there are k ( k ≥ 2 ) populations k π , ,π 1 L such that the distribution of...
[[abstract]]This article deals with the problem of selecting the population most equivalent to a con...
_.... r .- c,nnf,;.-j;n fhi< renort are those of the authors) and should not be construed as VrJ...
The empirical Bayes approach was introduced by Robbins (1956, 1964). Since then, it has become a pow...
The problem of selecting the population with the largest mean from among $k({\ge2})$ independent pop...
[[abstract]]Suppose that there are k(k 2) populations (equipments) 1, , k . Of them, ( 1, , ) i i...
[[abstract]]Suppose that there are k(k 2) populations (equipments) 1, , k . Of them, ( 1, , ) i i...
This thesis examines a modified empirical Bayes decision problem in which the a priori distribution ...
[[abstract]]Consider k (k ≥ 2) populations whose mean θ i and variance σ i 2 are all unknown. For gi...
rank:fng and select.ion; shr.inkage In the problem of selecting the best of k populations, Olkin, So...
summary:In this paper empirical Bayes methods are applied to construct selection rules for the selec...
[[abstract]]Consider k(k~2) populations whose meanei and variance a} are all unknown. For given cont...
In this paper, we derive statistical selection procedures to partition k normal popu-lations into &q...
The dissertation deals with some empirical Bayes test procedures and statistical selection and ranki...
Assume that there are k ( 2≥k) populations kππ,,1 L such that the distribution of iπ is an exponenti...
[[abstract]]Assume that there are k ( k ≥ 2 ) populations k π , ,π 1 L such that the distribution of...
[[abstract]]This article deals with the problem of selecting the population most equivalent to a con...
_.... r .- c,nnf,;.-j;n fhi< renort are those of the authors) and should not be construed as VrJ...
The empirical Bayes approach was introduced by Robbins (1956, 1964). Since then, it has become a pow...
The problem of selecting the population with the largest mean from among $k({\ge2})$ independent pop...
[[abstract]]Suppose that there are k(k 2) populations (equipments) 1, , k . Of them, ( 1, , ) i i...
[[abstract]]Suppose that there are k(k 2) populations (equipments) 1, , k . Of them, ( 1, , ) i i...
This thesis examines a modified empirical Bayes decision problem in which the a priori distribution ...
[[abstract]]Consider k (k ≥ 2) populations whose mean θ i and variance σ i 2 are all unknown. For gi...
rank:fng and select.ion; shr.inkage In the problem of selecting the best of k populations, Olkin, So...
summary:In this paper empirical Bayes methods are applied to construct selection rules for the selec...
[[abstract]]Consider k(k~2) populations whose meanei and variance a} are all unknown. For given cont...