Locally Optimal Subset Selection Rules Based on Ranks Under Joint Type II Censoring.
Abstract
This paper deals with the derivation of subset selection rules which satisfy the basic P-condition and which locally maximize the probability of a correct selection among all invariant subset selection rules based on the ranks under the joint type II censoring. Following the earlier setup of Gupta, Huang and Nagel (1979), a locally optimal subset selection rule R1 is derived. The property of local monotonicity related to the rule R1 is discussed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1984
- Accession Number
- ADA146179
Entities
People
- Sumedha Gupta
- T. C. Liang
Organizations
- Purdue University