wgp {ig}R Documentation

Derivative of the weights in the likelihood fucntion of the inverse Gaussian type distribution

Description

Compute the derivative of the weights in the likelihood fucntion of the inverse Gaussian type distribution.

Usage

wgp(u, kernel, nu = 1)

Arguments

u Vector of values.
kernel Kernel of the pdf of the associated symmetrical distribution by means of which the IGTD is obtained.
nu Additional parameter of the IGTD when the t kernel is used.

Author(s)

Víctor Leiva <victor.leiva@uv.cl>, Hugo Hernández <hugo.hernandez@msn.com>, and Antonio Sanhueza <asanhue@ufro.cl>.

References

Sanhueza, A., Leiva, V. and Balakrishnan, N. (2007). A new class of inverse Gaussian type distributions. Metrika (in press).


[Package ig version 1.0 Index]