Two flexible models obtained by perturbation of symmetric densities are considered: the Skew Exponential Power distribution and the Skew t distribution. They are able to fit the distribution of data which show either skewness or non-normal tails and provide an alternative to robust procedures when deviations from normality occur. The benefits of the adoption of these models for handling non¬-normal data are discussed and their application in the robustness context is shown in two examples.

Flexible models and robustness

MONTI A
2009-01-01

Abstract

Two flexible models obtained by perturbation of symmetric densities are considered: the Skew Exponential Power distribution and the Skew t distribution. They are able to fit the distribution of data which show either skewness or non-normal tails and provide an alternative to robust procedures when deviations from normality occur. The benefits of the adoption of these models for handling non¬-normal data are discussed and their application in the robustness context is shown in two examples.
2009
978-88-6129-406-6
Flexible models; Robust estimation; Skew Exponential Power Distribution; Skew t distribution
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/12322
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