Entropy-Based Parameter Estimation for the Four-Parameter Exponential Gamma Distribution
作者: Songbai SongXiaoyan SongYan Kang
作者单位: 1College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China
刊名: Entropy, 2017, Vol.19 (5)
来源数据库: Directory of Open Access Journals
DOI: 10.3390/e19050189
关键词: Four-parameter exponential gamma distributionPrinciple of maximum entropyPrecipitation frequency analysisMethods of momentsMaximum likelihood estimation
原始语种摘要: Two methods based on the principle of maximum entropy (POME), the ordinary entropy method (ENT) and the parameter space expansion method (PSEM), are developed for estimating the parameters of a four-parameter exponential gamma distribution. Using six data sets for annual precipitation at the Weihe River basin in China, the PSEM was applied for estimating parameters for the four-parameter exponential gamma distribution and was compared to the methods of moments (MOM) and of maximum likelihood estimation (MLE). It is shown that PSEM enables the four-parameter exponential distribution to fit the data well, and can further improve the estimation.
全文获取路径: DOAJ  (合作)

  • exponential 指数的
  • entropy 平均信息量
  • estimating 价值估计
  • likelihood 似然
  • parameter 参数
  • estimation 估计
  • maximum 最大值
  • distribution 分布
  • gamma 伽马
  • precipitation 沉淀