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

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1982
Accession Number
ADA115821

Entities

People

  • Jee Soo Kim
  • Roger L. Berger

Organizations

  • Florida State University

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  • Biomedical

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  • Data Science
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  • Observation
  • Order Statistics
  • Probability
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Fields of Study

  • Mathematics

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