Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1147523 | Journal of Statistical Planning and Inference | 2012 | 16 Pages |
Abstract
In this paper, we study a k-step-stress accelerated life test under Type-I censoring. The lifetime of the items follows the multivariate exponential distribution and a cumulative exposure model is considered. We derive the maximum likelihood estimators of the model parameters and establish the asymptotic properties of them. The problem of choosing the optimal time is addressed by using V-optimality as well as D-optimality criteria. Finally, some numerical studies are discussed to illustrate the proposed procedures.
Keywords
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Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Qiang Guan, Yincai Tang,