From: Polar motion prediction using the combination of SSA and Copula-based analysis
Distribution | Formula | Parameters |
---|---|---|
Extreme value (Kotz and Nadarajah 2000) | \(f(x;\mu , \sigma )= \sigma ^{-1}\exp (\frac{x-\mu }{\sigma })\exp \left( -\exp \left( \frac{x-\mu }{\sigma }\right) \right)\) | Location \(\mu\)Â scale \(\sigma\)Â |
Generalized extreme value (Hosking et al. 1985) | \({\displaystyle f(x;\mu , \sigma ,\xi )={{\left\{ \begin{array}{ll}{\big (}1+\xi ({\tfrac{x-\mu }{\sigma }}){\big )}^{-1/\xi }&{}{\text {if}}\ \xi \ne 0\\ \mathrm{e}^{-(x-\mu )/\sigma }&{}{\text {if}}\ \xi =0\end{array}\right. }}}\) | Location \(\mu\) scale \(\sigma\) shape \(\xi\) |
Generalized Pareto (Hosking and Wallis 1987) | \(f(x;\sigma ,\xi )= f_{{(\xi ,\mu ,\sigma )}}(x)={\frac{1}{\sigma }}\left( 1+{\frac{\xi (x-\mu )}{\sigma }}\right) ^{{\left( -{\frac{1}{\xi }}-1\right) }}\) | Location \(\mu\)Â scale \(\sigma\)Â shape \(\xi\) |