An Estimation Problem Relating to Subset Selection for Normal Populations.
Abstract
Let p sub 1, p sub 2,..., pi sub k be k independent normal populations with unknown means theta sub 1, theta sub 2,..., theta sub k, respectively, and a common known variance tau sub 2. The population associated with the largest theta sub i is called the best population. In the subset selection approach, the authors want to select a nonempty subset of the k populations so that it includes the best population with a minimum guaranteed probability. The basic idea of the subset selection approach is that the number of populations to be selected should depend upon the evidence supplied by the data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1983
- Accession Number
- ADA133387
Entities
People
- S. Jeyaratnam
- S. Panchapakesan
Organizations
- Purdue University