A Fast Parameter Estimation of Generalized Gaussian Distribution
2006
Generalized Gaussian distribution is a class of symmetry distribution with the Gaussian and Laplacian distribution as the special cases, with delta distribution and uniformity distribution as limit. It is widely applied a great many fields. In this paper, we first deduce the Generalized Gaussian parameter ratio function, and then present a fast parameter estimation of generalized Gaussian distribution; finally we make use of simulations to verify the method
Keywords:
- Generalized integer gamma distribution
- Gaussian function
- Gaussian random field
- Normal-inverse Gaussian distribution
- Ratio distribution
- Log-Cauchy distribution
- Mathematical optimization
- Inverse-chi-squared distribution
- Mathematical analysis
- Generalized inverse Gaussian distribution
- Mathematics
- Artificial intelligence
- Gaussian process
- Applied mathematics
- Pattern recognition
- Correction
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