R: Generalized Hyperbolic Student-t Mode

ghtMode {fBasics} | R Documentation

## Generalized Hyperbolic Student-t Mode

### Description

Computes the mode of the generalized hyperbolic Student-t distribution.

### Usage

    ghtMode(beta = 0.1, delta = 1, mu = 0, nu = 10)

### Arguments

`beta, delta, mu` | numeric values. `beta` is the skewness parameter in the range `(0, alpha)`; `delta` is the scale parameter, must be zero or positive; `mu` is the location parameter, by default 0. These are the parameters in the first parameterization.
`nu` | a numeric value, the number of degrees of freedom. Note, `alpha` takes the limit of `abs(beta)`, and `lambda=-nu/2`.

### Value

returns the mode for the generalized hyperbolic Student-t distribution. A numeric value.

### References

Atkinson, A.C. (1982); The simulation of generalized inverse Gaussian and hyperbolic random variables, SIAM J. Sci. Stat. Comput. 3, 502–515.

Barndorff-Nielsen O. (1977); Exponentially decreasing distributions for the logarithm of particle size, Proc. Roy. Soc. Lond., A353, 401–419.

Barndorff-Nielsen O., Blaesild, P. (1983); Hyperbolic distributions. In Encyclopedia of Statistical Sciences, Eds., Johnson N.L., Kotz S. and Read C.B., Vol. 3, pp. 700–707. New York: Wiley.

Raible S. (2000); Levy Processes in Finance: Theory, Numerics and Empirical Facts, PhD Thesis, University of Freiburg, Germany, 161 pages.

### Examples

    ## ghtMode -
       ghtMode()

[Package fBasics version 3042.89 Index]