Accession Number:

AD0766469

Title:

Statistical Multiple-Decision Procedures for Some Multivariate Selection Problems

Descriptive Note:

Technical rept.

Corporate Author:

CORNELL UNIV ITHACA NY DEPT OF OPERATIONS RESEARCH

Personal Author(s):

Report Date:

1973-07-01

Pagination or Media Count:

103.0

Abstract:

The following statistical multiple-decision problems are considered for a multivariate normal distribution with unknown or partially known covariance matrix, using the indifference-zone and subset approaches a Selecting the variate with the largest population mean b selecting the variate with the smallest population variance c selecting the subclass of variates with the smallest population generalized variance d selecting the population with the smallest vector coefficient of alienation between two subclasses of variates e selecting the best subclass of predictors for a specified subclass of variates. Small-sample theory is employed in a and b, while large-sample theory is used in b, c, d and e. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE