Abstract
We develop estimating equations for the parameters of the base density of a skew-symmetric distribution. The method is based on an invariance property with respect to asymmetry. Various properties of this approach and the selection of a root are discussed. We also present several extensions of the methodology, namely to the regression setting, the multivariate case, and the skew-t distribution. The approach is illustrated on several simulations and a numerical example.
Original language | English (US) |
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Pages (from-to) | 275-298 |
Number of pages | 24 |
Journal | Metron |
Volume | 68 |
Issue number | 3 |
DOIs | |
State | Published - 2010 |
Externally published | Yes |
Keywords
- Asymmetry
- Distributional invariance
- Generalized skew-normal distribution
- Root selection
- Semiparametric
ASJC Scopus subject areas
- Statistics and Probability