DocumentCode
737664
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
Volume
64
Issue
2
fYear
2015
fDate
6/1/2015 12:00:00 AM
Firstpage
636
Lastpage
644
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;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.2015.2412537
Filename
7070780
Link To Document