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