Title :
Parameter Inference in a Hybrid System With Masked Data
Author :
Ronghua Wang ; Naijun Sha ; Beiqing Gu ; Xiaoling Xu
Author_Institution :
Coll. of Math. & Sci., Shanghai Normal Univ., Shanghai, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
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.
Keywords :
maximum likelihood estimation; reliability theory; component life; fundamental hybrid systems; linear hazard function; maximum likelihood estimation; parallel-series masked data; parameter inference; parameter interval estimation; reliability analysis; series-parallel masked data; simulation studies; statistical inference; Density functional theory; Hazards; Maximum likelihood estimation; Probability; Reliability; Technological innovation; Interval estimation; masked data; maximum likelihood estimation; parallel-series system; series-parallel system;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.2015.2412537
