Optimal Test Plan of Step Stress Partially Accelerated Life Testing for Alpha Power Inverse Weibull Distribution under Adaptive Progressive Hybrid Censored Data and Different Loss Functions

Accelerated life tests are used to explore the lifetime of extremely reliable items by subjecting them elevated stress levels from stressors cause early failures, such as temperature, voltage, pressure, and so on. The alpha power inverse Weibull (APIW) distribution is great significance practical applications due its appealing characteristics, flexibilities in probability density function hazard rate function. We analyze step partially accelerated testing model with samples APIW under adaptive type II progressively hybrid censoring. first obtain maximum likelihood estimates two types approximate confidence intervals distributional parameters then derive Bayes unknown different loss functions. Furthermore, we three probable optimum test techniques for identifying best censoring optimality criteria methods. conduct simulation studies assess finite sample performance proposed methodology. Finally, provide a real data example further demonstrate technique.