| 系统寿命分布估计中的模式识别 |
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| 引用本文： | 沈娟华,汪四水.系统寿命分布估计中的模式识别[J].苏州大学学报(医学版),2008,24(2):25-28. |
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| 作者姓名： | 沈娟华 汪四水 |
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| 作者单位： | 苏州大学数学科学学院,江苏苏州215006 |
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| 摘 要： | 在由多个指数分布组成的元件系统中,给出系统的分布函数将有助于对系统的寿命特征进行更精细的研究.利用Gibbs抽样法给出了混合指数分布的极大似然估计和最大后验估计.通过引进识别变量,对系统寿命数据进行分类识别,从而更好地监控系统中各元件的工作状况,为系统的可靠运行提供保证.
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| 关 键 词： | 混合指数分布 后验分布 GIBBS抽样 MONTE-CARLO方法 |
| 文章编号： | 1000-2073(2008)02-0025-04 |
| 修稿时间： | 2006年10月8日 |
Statistic inference and model discrimination of distributions of system of life |
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| Shen Juanhua,Wang Sishui.Statistic inference and model discrimination of distributions of system of life[J].Journal of Suzhou University(Natural Science),2008,24(2):25-28. |
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| Authors: | Shen Juanhua Wang Sishui |
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| Institution: | ( School of Mathematic Science, Suzhou Univ., Suzhou 215006, China ) |
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| Abstract: | In the system assembled by several exponential distribution elements, it＇s helpful to present the system＇s distribution function for subtler study of the system life. This text use Gibbs sampling to obtain the MLE and posterior modes evaluations of mixed exponential distribution. The data of system life are clustered through taking in discriminated variable. So we can supervise the work conditions of each element in the system for that the system will run more steadily. |
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| Keywords: | mixed exponential distribution posterior distribution Gibbs sampling Monte-Carlo methods mixed exponential failure distribution |
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