entropy-based parameter estimation for the four-parameter exponential gamma distribution
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2017
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Abstract
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.
| Reference Key |
song2017entropyentropy-based
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|---|---|
| Authors | ;Songbai Song;Xiaoyan Song;Yan Kang |
| Journal | European journal of medicinal chemistry |
| Year | 2017 |
| DOI |
10.3390/e19050189
|
| URL | |
| Keywords | Keywords not found |
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