Selection from multivariate normal populations
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Publication:2524762
DOI10.1007/BF02869538zbMath0148.13804MaRDI QIDQ2524762
M. Haseeb Rizvi, Khursheed Alam
Publication date: 1966
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Related Items (18)
Asymptotic consistency for subset selection procedures satisfying the \(P^ *\)-condition ⋮ Exact Confidence Intervals in Analysis of Nonorthogonal Saturated Designs ⋮ Some theorems, counterexamples, and conjectures in multinomial selection theory ⋮ Subset Selection Procedures: Review and Assessment ⋮ Screening for Multiple Target Detection ⋮ Selecting the Normal Population with the Smallest Coefficient of Variation ⋮ Selection Using Overlap Coefficients ⋮ A two-stage procedure for selecting the largest normal mean whose first stage selects a bounded random number of populations ⋮ Some sequential procedures for ranking multivariate normal populations ⋮ On computation of integrals for selection from multivariate normal populations on the basis of distances ⋮ Partitioning \(k\) multivariate normal populations according to equivalence with respect to a standard vector ⋮ A two-sample procedure for selecting the population with the largest mean from k normal populations ⋮ Selection of the Most Diverse Multinomial Population ⋮ Determination of sample size for selecting the smallest ofkpoisson population means ⋮ Analysis of orthogonal saturated designs ⋮ Control of error rates in adaptive analysis of orthogonal saturated designs. ⋮ A multivariate solution of the multivariate ranking and selection problem ⋮ A Restricted Subset Selection Rule for Selecting at Least One of the t Best Normal Populations in Terms of Their Means When Their Common Variance is Known, Case II
Cites Work
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- On a selection and ranking procedure for gamma populations
- The Most-Economical Character of Some Bechhofer and Sobel Decision Rules
- A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances
- Ordered Families of Distributions
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