Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

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

Example:
library("stats")
randomize(21)
alpha = 1.8
beta = 0
delta = 1
mu =0
x = rndhyp(alpha,beta,delta,mu,1000)
para = mlhyp(x)
para

Result:
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



Author: Y. Chen, 20050204 license MD*Tech
(C) MD*TECH Method and Data Technologies, 05.02.2006