Ranking and Subset Selection Procedures for Exponential Populations with Type-I and Type-II Censored Data.

摘要

In this paper ranking and subset selection procedures for exponential populations with respect to the largest location and scale parameters are proposed. The data are assumed to be generated from Type-I and Type-II censoring mechanisms. The selection procedure proposed for the largest scale parameter based on Type-II censored data is equivalent to Gupta's procedure for gamma populations. Two procedures proposed for the selection of the largest location parameter under Type-I censoring and Type-II censoring are asymptotically equivalent.