Predictive screening
Predictive screening
In this article the screening problem is studied by a predictive approach in a general setting. The problem of optimal screening which is to raise the probability of success after screening to a prespecified value by retaining as many individuals as possible has been solved. The relation between such an optimal screening procedure and that considered in Turkman & Turkman (1989) is illuminated. The bivariate normal model is investigated as an illustration of the general theory.
screening problem, predictive distributions, success probability, bivariate normal
2349-2366
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
1992
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Abstract
In this article the screening problem is studied by a predictive approach in a general setting. The problem of optimal screening which is to raise the probability of success after screening to a prespecified value by retaining as many individuals as possible has been solved. The relation between such an optimal screening procedure and that considered in Turkman & Turkman (1989) is illuminated. The bivariate normal model is investigated as an illustration of the general theory.
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Published date: 1992
Keywords:
screening problem, predictive distributions, success probability, bivariate normal
Organisations:
Statistical Sciences Research Institute
Identifiers
Local EPrints ID: 381073
URI: http://eprints.soton.ac.uk/id/eprint/381073
ISSN: 0361-0926
PURE UUID: 9c25eb30-e940-4d32-b189-88dc11209373
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Date deposited: 05 Oct 2015 11:22
Last modified: 15 Mar 2024 02:43
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