Average type‐II censoring times for two‐parameter Pareto and Rayleigh distributions

Reliability engineers must not only consider the consumption of energy, capital and material resources, but also seek more economic means of completing experiments effectively. This study derives formulae for computing ratios of expected type‐II censoring times and expected complete sampling times when the lifetime adheres to two‐parameter Pareto and Rayleigh distributions. Utilizing such formulae allows the construction of tables providing information about how much experiment time can be saved by employing a type‐II censoring plan instead of a complete sampling plan. Engineers can employ the proposed tables to determine the censoring number, the initial sample size and the other relevant parameters for reducing the total experiment time. Illustrative examples demonstrate the effectiveness of the proposed procedure.