Inference for the Exponential Distribution under Generalized Progressively Hybrid Censored Data from Partially Accelerated Life Tests with a Time Transformation Function

In this article, the tampered failure rate model is used in partially accelerated life testing. A non-decreasing time function, often called a ‘‘time transformation function", proposed to tamper under design conditions. Different types of which have sufficient conditions order be accelerating functions, are investigated. baseline exponential distribution considered. Some point estimation methods, as well approximate confidence intervals, for parameters involved discussed based on generalized progressively hybrid censored data. The determination optimal stress change two different criteria optimality. real dataset employed explain theoretical outcomes article. Finally, Monte Carlo simulation study carried out examine performance methods and optimality criteria.