# 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.

# Descriptors:

# Subject Categories:

- Statistics and Probability