Planning step-stress test plans under Type-I hybrid censoring for the log-location-scale distribution

Chien-Tai Lin (), Cheng-Chieh Chou and N. Balakrishnan
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Chien-Tai Lin: Tamkang University
Cheng-Chieh Chou: Tamkang University
N. Balakrishnan: McMaster University

Statistical Methods & Applications, 2020, vol. 29, issue 2, No 3, 265-288

Abstract: Abstract The optimal design of a k-level step-stress accelerated life-testing (ALT) experiment with unequal duration steps under Type-I hybrid censoring scheme for a general log-location-scale lifetime distribution is discussed here. Censoring is allowed only at the change-stress point in the final stage. Based on the cumulative exposure model, the determination of the optimal choice for Weibull, lognormal and log-logistic lifetime distributions are considered by minimization of the asymptotic variance of the maximum likelihood estimate of the pth percentile of the lifetime at the normal operating condition. Numerical results show that for these lifetime distributions, the optimal k-step-stress ALT design with unequal duration steps under Type-I hybrid censoring scheme reduces just to a 2-step-stress ALT design.

Keywords: Accelerated life-test; Cumulative exposure model; Fisher information matrix; Maximum likelihood method (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10260-019-00476-8

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