Poisson–logarithmic half-logistic distribution with inference under a progressive-stress model based on adaptive type-II progressive hybrid censoring

Abstract The researchers, engineers, and physical experimenters may face difficulty to get a distribution that fits the failure data arising from certain systems. So, in this paper, new is introduced, named Poisson–logarithmic half-logistic distribution, based on parallel–series system’s times. Specific statistical properties are investigated for introduced distribution. Also, two real sets considered compare with some other distributions. progressive-stress accelerated life test applied using an increasing exponential function of time units whose lifetimes expected follow at normal stress conditions. Different estimation methods, such as maximum likelihood, percentile, least squares, weighted square basis adaptive type-II progressive hybrid censoring. To assess efficiency simulation study conducted, well numerical calculations.