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SELECTION PROCEDURES TO SELECT POPULATIONS BETTER THAN A CONTROL  

Kumar, Narinder (Department of Statistics, Panjab University)
Khamnel, H.J. (Department of Statistics, Tabriz University)
Publication Information
Journal of the Korean Statistical Society / v.32, no.2, 2003 , pp. 151-162 More about this Journal
Abstract
In this paper, we propose two selection procedures for selecting populations better than a control population. The bestness is defined in terms of location parameter. One of the procedures is based on two-sample linear rank statistics whereas the other one is based on a comparatively simple statistic, and is useful when testing time is expensive so that an early termination of an experiment is desirable. The proposed selection procedures are seen to be strongly monotone. Performance of the proposed procedures is assessed through simulation study.
Keywords
Control population; location parameter; probability of correct selection; asymptotic normality; simulation study;
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