Selection of the Best Normal Population: A New Exact Solution, Asymptotically Optimal Whenk=2
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Publication:4811707
DOI10.1080/01966324.2000.10737498zbMath1189.62035OpenAlexW1966498225MaRDI QIDQ4811707
Edward J. Dudewicz, Makoto Aoshima, Hiroto Hyakutake
Publication date: 6 September 2004
Published in: American Journal of Mathematical and Management Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01966324.2000.10737498
Cites Work
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- Designing experiments for selecting the largest normal mean when the variances are known and unequal: Optimal sample size allocation
- New Tables for Multiple Comparisons With a Control (Unknown Variances)
- On two-stage selection procedures and related probability-inequalities
- An asymptotically optimal fixed-width confidence interval for the difference of two normal means
- A Sequential Procedure for Selecting the Largest of $k$ Means
- On the Non-Existence of Tests of "Student's" Hypothesis Having Power Functions Independent of $\sigma$
- A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances
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