Accession Number : AD0775642
Title : Selection and Ranking Procedures for Multivariate Normal Populations.
Descriptive Note : Technical rept.,
Corporate Author : PURDUE UNIV LAFAYETTE IND DEPT OF STATISTICS
Personal Author(s) : Gupta,Shanti S.
Report Date : FEB 1974
Pagination or Media Count : 11
Abstract : 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)
Descriptors : *Multivariate analysis, Population(Mathematics), Selection, Distribution functions
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE