Approximating the Probability of Selecting the Best Treatment With A Heteroscedastic Procedure When The First Stage Has Unequal Sample Sizes

Rand R. Wilcox

Journal of Educational and Behavioral Statistics, 1983, vol. 8, issue 1, 45-58

Abstract: Consider k normal distributions having means μ 1 ,..., μ k and variances σ 2 1 ,..., σ 2 k . Let μ [1] ≥...≥ μ [ k ] be the means written in ascending order. Dudewicz and Dalai proposed a two-stage procedure for selecting the population having the largest mean μ [ k ] where the variances are assumed to be unknown and unequal. This paper considers an approximate but conservative solution for situations where unequal sample sizes are used in the first stage. The paper also considers how to estimate the actual probability of selecting the “best†treatment; that is, the one having mean μ [ k ] , after a heteroscedastic ANOVA has been performed.

Keywords: Ranking in selection; Indifference zone (search for similar items in EconPapers)
Date: 1983
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:8:y:1983:i:1:p:45-58

DOI: 10.3102/10769986008001045

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