Article ID Journal Published Year Pages File Type
415605 Computational Statistics & Data Analysis 2013 10 Pages PDF
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
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