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 language | English |
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Pages (from-to) | 119-127 |
Number of pages | 9 |
Journal | Biometrics |
Volume | 39 |
Issue number | 1 |
DOIs | |
State | Published - 1983 |
Externally published | Yes |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry, Genetics and Molecular Biology (all)
- Immunology and Microbiology (all)
- Agricultural and Biological Sciences (all)
- Applied Mathematics