Most of literature on accelerated life tests always assume that the domain of level of stress is known so that the life-stress relationship keeps unchanged as long as the level of stress applied is in this domain. However, in many practical situations the upper bound of such domain is usually unknown, especially for a new product. To consider such problem, we focus on the Weibull model and assume that, through some transformation, there is a linear relationship between the concerned parameter (involved in life distribution) and stress level. It is permitted that this relationship may change when the level of stress exceeds some bound, however its linearity is unchanged. To save time, we consider the data are either from type I or type II censored sampling. Some simulation results are also provided.
Estimation Based on Progressive First-Failure Censored Sampling with Binomial Removals
