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Nonparametric inferences for ramp stress tests under random censoring

✍ Scribed by D.S. Bai; Y.R. Chun

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
575 KB
Volume
41
Category
Article
ISSN
0951-8320

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✦ Synopsis

This paper considers nonparametric estimation of lifetime distribution of a product under ramp stress accelerated life tests in which the stress on an item increases linearly with time and observations are randomly censored. Assuming that a cumulative exposure model holds, the lifetime distribution of an item under ramp stress is derived. Three nonparametric estimators of the lifetime distribution at use condition stress are obtained for the situation where the time transformation function relating stress to lifetime distributions of a test item is a version of the inverse power law. The proposed estimators are robust to underlying lifetime distribution and are computed in closed form. They are compared with maximum likelihood estimator for small samples under exponential lifetime distribution. The method is extended to the case of competing risks.

πŸ“œ SIMILAR VOLUMES

Inference for a progressive stress model
Inference for a progressive stress model from Weibull distribution under progressive type-II censoring
✍ Alaa H. Abdel-Hamid; Essam K. AL-Hussaini πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 280 KB

Based on progressively type-II censored samples, this paper considers progressive stress accelerated life tests when the lifetime of an item under use condition follows the Weibull distribution with a scale parameter satisfying the inverse power law. It is assumed that the progressive stress is dire