Interval Estimation of the Largest Mean of k Normal Populations with Known Variances

DOI10.2307/2283738zbMath0181.45801OpenAlexW4255398361MaRDI QIDQ5572961

K. M. Lal Saxena, Y. L. Tong

Publication date: 1969

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2283738

zbMATH Keywords

statistics

Related Items (11)

Linking the estimation and ranking and selection problems through sequential procedures: The normal case ⋮ Further developments in estimation of the largest mean of K normal populations ⋮ Estimating probability of occurrence of the most likely multinomial event ⋮ Confidence intervals for the means of the selected populations ⋮ A confidence region for the largest and the smallest means under heteroscedasticity ⋮ Multi-stage point and interval estimation of the largest mean of k normal populations and the associated second-order properties ⋮ On multi-stage procedures for estimating the largest mean ofkNOrmal populations having unequal and unknown variances ⋮ Bootstrap method in ranking and slippage problems ⋮ Optimal confidence interval for the largest normal mean with unknown variance ⋮ On selecting populations better than a control: weibull populations case ⋮ A nearly optimal confidence interval for the largest normal mean

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