Generalized Fiducial Inference for the Stress–Strength Reliability of Generalized Logistic Distribution

Generalized logistic distribution, as the generalized form of symmetric plays an important role in reliability analysis. This article focuses on statistical inference for stress–strength parameter R=P(Y<X) distribution with same and different scale parameters. Firstly, we use frequentist method to construct asymptotic confidence intervals, adopt constructing point estimators well intervals. Then fiducial is applied Simulation results demonstrate that outperforms other methods terms mean square error, average length, empirical coverage. Finally, three real datasets are used illustrate proposed methods.