Abstract
Rizvi (1971) studied a single-stage procedure for selecting from several normal populations the one with the largest absolute mean using the indifference-zone formulation of Bechhofer (1954), assuming that the populations have a common known variance. When the common variance is unknown, a single-stage procedure that guarantees a minimum probability of a correct selection does not exist. In this paper, a non-eliminating two-stage procedure is proposed and studied for this situation.
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References
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Jeyaratnam, S., Panchapakesan, S. (2000). Selecting from Normal Populations the One with the Largest Absolute Mean: Common Unknown Variance Case. In: Balakrishnan, N., Melas, V.B., Ermakov, S. (eds) Advances in Stochastic Simulation Methods. Statistics for Industry and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1318-5_16
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DOI: https://doi.org/10.1007/978-1-4612-1318-5_16
Publisher Name: Birkhäuser, Boston, MA
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