On a Generalized Model in Accelerated Life Testing

HTML  Download Download as PDF (Size: 104KB)  PP. 184-187  
DOI: 10.4236/ojs.2012.22021    5,926 Downloads   9,039 Views  

ABSTRACT

The main objective of accelerated life tests in this setting is the recovery of the distribution of the random variable representing lifetime which is difficult to observe at a certain level of a given stress factor. A general model for accelerated life test is proposed that utilizes the inverse problem approach, that is, the variable is observe at different level/s and the transfer function is used to recover the elusive random variable (life time). The problem then is reduced to finding the transfer function. We derive some properties of the proposed general model. The Lognormal distribution and the Arrhenius model for lifetime are used as examples. Its relationship with the Cox proportional hazards model is also discussed.

Share and Cite:

E. Cruz and A. Guzman, "On a Generalized Model in Accelerated Life Testing," Open Journal of Statistics, Vol. 2 No. 2, 2012, pp. 184-187. doi: 10.4236/ojs.2012.22021.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.