An Estimation for the Power-Law Distribution Parameter Based on Entropy
FU Bai-Bai, GAO Zi-You
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
An Estimation for the Power-Law Distribution Parameter Based on Entropy
FU Bai-Bai;GAO Zi-You
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
关键词 ：
89.75.-k ,
89.70.+c ,
02.50.Ng
Abstract ： 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.
Key words ：
89.75.-k
89.70.+c
02.50.Ng
出版日期: 2006-02-01
引用本文:
FU Bai-Bai;GAO Zi-You. An Estimation for the Power-Law Distribution Parameter Based on Entropy[J]. 中国物理快报, 2006, 23(2): 520-522.
链接本文:
https://cpl.iphy.ac.cn/CN/
或
https://cpl.iphy.ac.cn/CN/Y2006/V23/I2/520
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2006, Vol. 23 
