We consider statistical inference for two fundamental hybrid systems based on masked data: series-parallel, and parallel-series. Under constant, and linear hazard functions for component life, we present the maximum likelihood, and interval estimation of parameters of interest. Simulation studies are performed to demonstrate the efficiency of the methods.
['Ronghua Wang', 'Naijun Sha', 'Beiqing Gu', 'Xiaoling Xu']
Parameter Inference in a Hybrid System With Masked Data