Library: | stats |
See also: | pdfhyp cdfhyp qhyp mlnig rndhyp qnig |
Quantlet: | mlhyp | |
Description: | estimates distributional parameters of univariate Hyperbolic (HYP) distributed variable |
Usage: | para = mlhyp(data) | |
Input: | ||
data | array, observations of HYP variable | |
Output: | ||
para.alpha | scalar, parameter of HYP variable | |
para.beta | scalar, parameter of HYP variable | |
para.delta | scalar, parameter of HYP variable | |
para.mu | scalar, parameter of HYP variable |
library("stats") randomize(21) alpha = 1.8 beta = 0 delta = 1 mu =0 x = rndhyp(alpha,beta,delta,mu,1000) para = mlhyp(x) para
Contents of para.alpha [1,] 2.0625 Contents of para.beta [1,] 0.026612 Contents of para.delta [1,] 1.2249 Contents of para.mu [1,] 0.010653