| An Estimation for the Power-Law Distribution Parameter Based on Entropy |
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| 作者姓名： | 傅白白 高自友 |
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| 作者单位： | School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044 |
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| 基金项目： | Supported by the National Natural Science Foundation of China under Grant No 70471088, the National 0utstanding Young Investigator of National Natural Science Foundation of China under Grant No 70225005, the Postdoctoral Science Fundation of China under Grant No 2005037039, and the Spccial Research Doctoral Programme of the Ministry of Education of China. under Grant No 20050004005. |
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| 摘 要： | A new estimation based on the Shannon entropy for the power-law distribution parameter is presented, The maximum likelihood estimation （MLE） of the parameter is discussed and the relation between the MLE and the moment estimation of the parameter is given out. It is shown that the minimum Shannon entropy estimation is equivalent to the MLE giving the log expectation.
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| 关 键 词： | 能量规律分配参数 熵 最大可能估量值 MLE 热力学 |
| 收稿时间： | 2005-11-16 |
| 修稿时间： | 2005-11-16 |
An Estimation for the Power-Law Distribution Parameter Based on Entropy |
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| FU Bai-Bai, GAO Zi-You.An Estimation for the Power-Law Distribution Parameter Based on Entropy[J].Chinese Physics Letters,2006,23(2):520-522. |
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| Authors: | FU Bai-Bai GAO Zi-You |
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