Mathematical Model of Accelerated Life Testing Plan Using Geometric Process
In this study, geometric process is introduced for the study of accelerated life testing plan under constant stress when the failure time data are from a generalized exponential model. It is better choice for life testing because of its simplicity in nature. The mean, SE, MSE, RAB and RE of the parameters are obtained and based on the asymptotic normality, the 95% and 99% confidence intervals of the parameters are also obtained. The future research should extend the GP model into ALTg for different life distribution. Introducing the GP model into ALT with other test plans or censoring techniques is another object of the future research.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.