The Lambert Way to Gaussianize Heavy-Tailed Data with the Inverse of Tukey's h Transformation as a Special Case.

I present a parametric, bijective transformation to generate heavy tail versions of arbitrary random variables. The tail behavior of this heavy tail Lambert W × F X random variable depends on a tail parameter δ ≥ 0: for δ = 0, Y ≡ X, for δ > 0 Y has heavier tails than X. For X being Gaussian it redu...

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Detalles Bibliográficos
Publicado en:Scientific World Journal Vol. 2015; pp. 1 - 17
Autor principal: Goerg, Georg M.
Formato: Journal Article
Publicado: Wiley-Blackwell 8/25/2015
Acceso en línea:Ver este registro en EBSCOhost