| 多元先验信息的融合问题 |
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| 引用本文： | 詹昊可,姜礼平,苑秉成. 多元先验信息的融合问题[J]. 海军工程大学学报, 2005, 17(4): 76-79 |
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| 作者姓名： | 詹昊可 姜礼平 苑秉成 |
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| 作者单位： | 1. 海军工程大学,兵器工程系,湖北,武汉,430033
2. 海军工程大学,理学院,湖北,武汉,430033 |
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| 摘 要： | 在多元先验信息条件下,运用Bayes理论讨论问题时,必然会遇到先验信息融合问题.文中提出了几种简化形式,并针对产品失效率的多个先验信息情形,结合实例与熵度量的拟合优度说明了该方法的合理性.
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| 关 键 词： | 混合分布 共轭最大熵先验 Kullback-Leibler信息 贝叶斯估计 |
| 文章编号： | 1009-3486(2005)04-0076-04 |
| 修稿时间： | 2005-02-17 |
Synthesis of multiple sources of prior information |
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| ZHAN Hao-ke,JIANG Li-ping,YUAN Bing-cheng. Synthesis of multiple sources of prior information[J]. Journal of Naval University of Engineering, 2005, 17(4): 76-79 |
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| Authors: | ZHAN Hao-ke JIANG Li-ping YUAN Bing-cheng |
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| Affiliation: | ZHAN Hao-ke~ |
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| Abstract: | As multiple sources of prior information and forms is complicated to use, thus the fusion of multiple prior information and sources is studied. And this paper puts forward the predigesting methodsof prior information fusion. Illustrative examples show that those methods are valid. |
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| Keywords: | mixed-distribution maximum-entropy conjugate priors Kullback-Leibler information bayesian estimation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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