Accession Number:
AD0712031
Title:
INCOMPLETE PRIOR INFORMATION IN A CLASSIFICATION PROCEDURE.
Descriptive Note:
Technical rept.,
Corporate Author:
FLORIDA STATE UNIV TALLAHASSEE DEPT OF STATISTICS
Personal Author(s):
Report Date:
1970-07-01
Pagination or Media Count:
22.0
Abstract:
The classification of specimens into one of N populations is considered when the observation on each specimen is a multivariate discrete random variable and when incomplete prior information is available concerning the occurrence of specimens from the various populations. The T-minimax decision criterion is applied and it is shown that an optimal classification procedure is the solution of a finite matrix game. The consistency of the T-minimax procedure is demonstrated when certain population probabilities are estmated by sample proportions. A medical example is considered. Author
Descriptors:
Subject Categories:
- Medicine and Medical Research
- Statistics and Probability