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Ranked Set Sampling with Multiple Concomitant Variables
by
Zehua Chen
Department of Statistics and Applied Probability, National University of Singapore, Singapore 117543
In many practical problems, the variable of interest is costly to measure but is associated with easily obtainable concomitant variables. In this talk, we discuss how to develop ranked set sampling (RSS) procedures by using multiple concomitant variables for this situation. Two complementary RSS procedures will be discussed: a Multi-Layer RSS procedure and an Adaptive RSS procedure. Their properties and efficiencies will be considered. Also potential applications will be illustrated.
Date received: May 16, 2001
Copyright © 2001 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 # cagd-17.