Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
415605 | Computational Statistics & Data Analysis | 2013 | 10 Pages |
Abstract
The Generalised Normal Variance–Mean (GNVM) model in which the mixing random variable is Gamma distributed is considered. This model generalises the popular Variance-Gamma (VG) distribution. This GNVM model can be interpreted as the addition of noise to a (skew) VG base. The discussion is based on goodness of fit criteria and on parameter estimation. The conclusion is that the shape of the VG distribution can be adjusted in a favourable way by adding noise.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Thomas Fung, Joanna J.J. Wang, Eugene Seneta,