On Bayes Selection Rules for the Best Exponential Population with Type-I Censored Data.
Abstract
The problem of selecting the exponential population having the largest mean life among several exponential populations is investigated. A Bayes rule based on type I censored data is derived. A monotone property of the Bayes selection rule is discussed. An early selection rule is also proposed. Finally, an example is presented to illustrate the implementation of these two selection rules.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1987
- Accession Number
- ADA178472
Entities
People
- Shanti Gupta
- Tachen Liang
Organizations
- Purdue University