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Authors
Affiliations
1 Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX 79968, US
2 College of Mathematics and Science, Shanghai Normal University, Shanghai 200234, CN
3 Business Information Management School, Shanghai University of International Business and Economics, Shanghai 201600, CN
Source
Advances in Statistics, Vol 2015 (2015), Pagination: 1-11
Abstract
Complex systems are usually composed of simple hybrid systems. In this paper,we consider statistical inference for two fundamental hybrid systems: series-parallel and parallel-series systems based on masked data. Assuming dependent lifetimes of components modelled by Marshall and Olkin's bivariate exponential distribution in the system, we present maximum likelihood and interval estimation of parameters of interest. Intensive simulation studies are performed to demonstrate the efficiency of the methods.
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