Selection and Ranking Procedures for Multivariate Normal Populations.
PURDUE UNIV LAFAYETTE IND DEPT OF STATISTICS
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The paper deals with selection and ranking procedures for multivariate normal populations. Procedures for selecting a subset containing the unknown population with the smallest generalized variance, the largest Mahalanobis distance function and the largest smallest multiple correlation coefficient are described. The paper also surveys other known results in ranking problems for these populations and mentions some unsolved problems. Modified author abstract
- Statistics and Probability