Accession Number:

ADA159164

Title:

A Lower Confidence Bound on the Probability of a Correct Selection.

Descriptive Note:

Technical rept.,

Corporate Author:

PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS

Personal Author(s):

Report Date:

1985-08-01

Pagination or Media Count:

18.0

Abstract:

In the problem of selecting the best of k populations, a natural rule is to select the population corresponding to the largest sample value of an appropriate statistic. As a retrospective analysis, a lower confidence bound on the probability of a correct selection is derived when the probability density function has the monotone likelihood ratio property under the location parameter setting. The result is applied to the normal populations with both known and unknown common variance. Tables to implement the confidence bound are provided. Additional keywords Charts TablesData. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE