Structural Inference on the Inverse Weibull Distribution Based on Generalized Order Statistics

AbstractIn this paper, structural inference has been applied to the inverse Weibull distribution for constructing probability intervals on parameters and reliability functions based on generalized order statistics via Monte Carlo simulation. The coverage rate and the covering symmetry of the structural intervals have been obtained for different values of the shape parameter. Measuring the efficiencies of the inferences from complete data is compared to censored data. Finally, a numerical example is given to clarify the use of the inferential method developed in this paper.