Tests for monotone mean residual life, using randomly censored data.

Chen Yuan-Yan Chen, M. Hollander, N. A. Langberg

Research output: Contribution to journalArticlepeer-review

Abstract

It is useful to categorize failure distributions by the monotonicity properties of the mean residual life function. Hollander and Proschan (1975) derived tests of the null hypothesis that the underlying failure distribution is exponential, versus the alternative that it has a monotone mean residual life function. In this paper, the Hollander-Proschan tests are generalized to accommodate randomly censored data.-from Authors

Original languageEnglish
Pages (from-to)119-127
Number of pages9
JournalBiometrics
Volume39
Issue number1
DOIs
StatePublished - 1983
Externally publishedYes

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • Applied Mathematics
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • Statistics and Probability

Fingerprint

Dive into the research topics of 'Tests for monotone mean residual life, using randomly censored data.'. Together they form a unique fingerprint.

Cite this