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	Statistic analysis of input data for reliability evaluation of complex system with simulation
	Yang Yu-hang ; Li Zhi-zhong ; Zheng Li
	2010-05-10 ; 2010-05-10
关键词	Theoretical or Mathematical/ Bayes methods data analysis large-scale systems Monte Carlo methods reliability simulation statistical analysis/ statistic analysis reliability evaluation complex system simulation Monte Carlo technique Bayes method bootstrap method triangular distribution input data analysis/ C6130 Data handling techniques C1140G Monte Carlo methods C1220 Simulation, modelling and identification
中文摘要	Statistic analysis of input data is discussed for reliability evaluation of complex systems with simulation, especially when trial data is inadequate (i.e. small sample). Monte Carlo technique combined with Bayes method or improved bootstrap method is appropriate for reliability evaluation in small sample cases. After discussion of triangular distribution method based on expert experience when no trial data are available, an improved bootstrap method is proposed where bootstrap method is combined with prior information and expert experience so that sample information can be well utilized. The integrated method is believed to be more practical in reliability evaluation of complex systems.
语种	中文 ; 中文
出版者	Editorial Committee of J. Systems Simulation ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/23715]
专题	清华大学
推荐引用方式 GB/T 7714	Yang Yu-hang,Li Zhi-zhong,Zheng Li. Statistic analysis of input data for reliability evaluation of complex system with simulation[J],2010, 2010.
APA	Yang Yu-hang,Li Zhi-zhong,&Zheng Li.(2010).Statistic analysis of input data for reliability evaluation of complex system with simulation..
MLA	Yang Yu-hang,et al."Statistic analysis of input data for reliability evaluation of complex system with simulation".(2010).

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