A Class of Tests for Testing an Increasing Failure-Rate-Average Distribution with Randomly Right-Censored Data Academic Article uri icon

Overview

MeSH Major

  • Antibodies, Monoclonal
  • Antineoplastic Agents
  • Protein Kinase Inhibitors
  • Receptor, Epidermal Growth Factor
  • Skin Neoplasms

abstract

  • For testing exponentiality versus (nonexponential) increasing failure rate average alternatives using the randomly right censored data, a class of test statistics based on a functional of the Kaplan-Meier estimator is proposed. The asymptotic relative efficiencies of tests from this class with respect to other test statistic are derived. The efficiency loss due to censoring is studied. The proposed tests are applied to published survival data. Reader Aids - Purpose: Present a derivation and examples Special math needed for explanations: IFRA tests, randomly right censored data, and ARE calculation Special math needed to use results: Same Results useful to: Reliability analysts and theoreticians. © 1991 IEEE

publication date

  • January 1991

Research

keywords

  • Academic Article

Identity

Digital Object Identifier (DOI)

  • 10.1109/24.87116

Additional Document Info

start page

  • 152

end page

  • 156

volume

  • 40

number

  • 2