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Estimating Average Worth of the Selected Subset from Exponential Populations
by
Aditi Gangopadhyay
Mathematics Group, Birla Insitute of Technology and Science, Pilani, (Rajasthan) 333 031 INDIA
Coauthors: Somesh Kumar (Department of Mathematics, Indian Institute of Technology Kharagpur 721 302 INDIA)
Suppose a subset of populations is selected from the given k exponential populations
with a common location \theta and scale parameters \sigma1, \sigma2, ... , \sigmak respectively, using Gupta's (1963, 1965) rule. The problem is to estimate
the average worth W of the selected subset. In this paper, we derive the uniformly
minimum variance unbiased estimator (UMVUE) of W. We have compared numerically
the bias and risk functions of the above estimator, natural analogue of the best affine
equivariant estimator and the analogue of the natural estimator.
References
Gupta, S.S. (1963). On a selection and ranking procedure for
gamma populations. Ann. Inst. Statist. Math., 14, 199-216.
Gupta, S.S. (1965). On some multiple decision (selection and
ranking) rules. Technometrics, 7, 225-245.
Date received: March 24, 2003
Copyright © 2003 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 Mathematical Conference Abstracts. Document # cakp-02.