Density deconvolution for generalized skew-symmetric distributions

Abstract The density deconvolution problem is considered for random variables assumed to belong to the generalized skew-symmetric (GSS) family of distributions. The approach is semiparametric in that the symmetric component of the GSS distribution is assumed known, and the skewing function capturing...

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Bibliographic Details
Main Author: Cornelis J. Potgieter
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:Journal of Statistical Distributions and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40488-020-00103-y