Abstract
Principles of multiple comparisons with the best treatment are used to construct a sequential procedure for selecting one of $k$ normal populations with equal, known variance. The procedure makes a stronger confidence than traditional Indifference Zone procedures, without (asymptotically) inflating sample sizes. It is shown to be substantially superior in asymptotic sample size behavior to existing procedures making the stronger statement.
Citation
Don Edwards. "Extended-Paulson Sequential Selection." Ann. Statist. 15 (1) 449 - 455, March, 1987. https://doi.org/10.1214/aos/1176350280
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