文章基本信息

标题：Statistical Inference in Dependent Component Hybrid Systems with Masked Data
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作者：Naijun Sha ; Ronghua Wang ; Ping Hu 等
期刊名称：Advances in Statistics
印刷版ISSN：2356-6892
出版年度：2015
卷号：2015
DOI：10.1155/2015/525136
出版社：Hindawi Publishing Corporation
摘要：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.