Accession Number:

AD0757094

Title:

Sequential Estimation of the Largest Normal Mean When the Variance is Known

Descriptive Note:

Technical rept.

Corporate Author:

CORNELL UNIV ITHACA NY DEPT OF OPERATIONS RESEARCH

Personal Author(s):

Report Date:

1973-02-01

Pagination or Media Count:

47.0

Abstract:

Given n observations from each of k normal populations with common known variance sigma squared, the value of the largest of the k means whose values are not known is to be estimated using the largest value of the k sample means. It is desired to design a sampling rule which guarantees that the Mean Squared Error M.S.E. of the estimate does not exceed a given bound regardless of the configuration of values of the k means.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE