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

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

doi:10.2307/2530812

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

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

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	119-127
Number of pages	9
Journal	Biometrics
Volume	39
Issue number	1
DOIs	https://doi.org/10.2307/2530812
State	Published - 1983
Externally published	Yes

ASJC Scopus subject areas

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

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

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",

author = "{Yuan-Yan Chen}, Chen and M. Hollander and Langberg, {N. A.}",

year = "1983",

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AB - 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

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JO - Biometrics

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

Abstract

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