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Simultaneous Lower Confidence Bounds For The Probabilities of Correct Selection: The Scale Parameter Case
by
Narinder Kumar
Department of Statistics, Panjab University, Chandigarh, India
Coauthors: Radhey Singh, University of Guelph, Guelph, Canada
In this paper we develop lower confidence bounds for the probability of correctly selecting the t best populations simultaneously for all t=1, ..., k-1 for the general scale probability models, where k is the number of populations involved in the selection problem. Applications of the results to the Exponential and Normal probabilty models are discussed.
Date received: November 6, 2000
Copyright © 2000 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cafr-93.