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arXiv · 1308.0248

Nearly Gaussian random variables and application to meteorology

Rui Gonçalves
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Abstract

We consider a nearly Gaussian random variable $X$ (see \cite{Lefebvre}) that, after a power transformation, the variable $X^c$ where $c=\{(2k+1)/(2j+1)\}$, $k,j=\{0,1,\dots\}$, is approximately Gaussian. This transformation is useful to model errors in temperature forecasts.

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Rui Gonçalves. 2013-08-01. Nearly Gaussian random variables and application to meteorology. https://arxiv.org/abs/1308.0248

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