Further developments in estimation of the largest mean ofK normal populations |
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Authors: | N. Mukhopadhyay S. Chattopadhyay S. K. Sahu |
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Affiliation: | (1) Department of Statistics, University of Connecticut, 196 Auditorium Road, U Box 120, 06269 Storrs, CT, USA |
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Abstract: | We revisit the bounded maximal risk point estimation problem as well as the fixed-width confidence interval estimation problem for the largest mean amongk(≥2) independent normal populations having unknown means and unknown but equal variance. In the point estimation setup, we devise appropriate two-stage and modified two-stage methodologies so that the associatedmaximal risk can bebounded from aboveexactly by a preassigned positive number. Kuo and Mukhopadhyay (1990), however, emphasized only the asymptotics in this context. We have also introduced, in both point and interval estimation problems,accelerated sequential methodologies thereby saving sampling operations tremendously over the purely sequential schemes considered in Kuo and Mukhopadhyay (1990), but enjoying at the same time asymptotic second-order characteristics, fairly similar to those of the purely sequential ones. |
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Keywords: | Two-stage procedure modified two-stage procedure exact bounded maximal risk fixed-width confidence interval accelerated sequential procedure second-order properties |
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