A note on the conditional probability of correct selection under the two-element partition
A note on the conditional probability of correct selection under the two-element partition
Suppose there are k normal populations with unknown means, and the goal is to select the population having the largest mean based on independent observations from the k populations. Bechhofer (Ann. Math. Statist. 25 (1954), 16–39) proposed the indifference zone approach for this problem. The disadvantage of this approach is that often the same decision (which population to be selected) and the same probability of correct selection are assigned to two different sets of observations, one of which intuitively conveys a much stronger feeling of correct selection. Using Kiefer's (Proc. 4th Dayton Multivariate Conf., North-Holland, Amsterdam, 1975, 143–158; J. Amer. Statist. Assoc. 72 (1977), 789–827) conditional approach, the whole sample space can be partitioned into a set of lucky observations and a set of unlucky observations. In this note, we study the conditional probability of correct selection under this two-element partition. Results on least favourable configuration and ?-correct selection are established if we have lucky observations. Some unsolved problems are pointed out.
ranking and selection, conditional inference
373-383
Liu, W.
b64150aa-d935-4209-804d-24c1b97e024a
May 1994
Liu, W.
b64150aa-d935-4209-804d-24c1b97e024a
Liu, W.
(1994)
A note on the conditional probability of correct selection under the two-element partition.
Journal of Statistical Planning and Inference, 39 (3), .
(doi:10.1016/0378-3758(94)90093-0).
Abstract
Suppose there are k normal populations with unknown means, and the goal is to select the population having the largest mean based on independent observations from the k populations. Bechhofer (Ann. Math. Statist. 25 (1954), 16–39) proposed the indifference zone approach for this problem. The disadvantage of this approach is that often the same decision (which population to be selected) and the same probability of correct selection are assigned to two different sets of observations, one of which intuitively conveys a much stronger feeling of correct selection. Using Kiefer's (Proc. 4th Dayton Multivariate Conf., North-Holland, Amsterdam, 1975, 143–158; J. Amer. Statist. Assoc. 72 (1977), 789–827) conditional approach, the whole sample space can be partitioned into a set of lucky observations and a set of unlucky observations. In this note, we study the conditional probability of correct selection under this two-element partition. Results on least favourable configuration and ?-correct selection are established if we have lucky observations. Some unsolved problems are pointed out.
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Published date: May 1994
Keywords:
ranking and selection, conditional inference
Organisations:
Statistical Sciences Research Institute
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Local EPrints ID: 381064
URI: http://eprints.soton.ac.uk/id/eprint/381064
ISSN: 0378-3758
PURE UUID: 8b99568b-51c3-4ff0-8c34-07a8ed2d7ef2
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Date deposited: 05 Oct 2015 09:27
Last modified: 15 Mar 2024 02:43
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