# Generalizing the normality: a novel towards different estimation methods for skewed information

@inproceedings{Nascimento2021GeneralizingTN, title={Generalizing the normality: a novel towards different estimation methods for skewed information}, author={Diego Carvalho do Nascimento and Pedro Luiz Ramos and David Elal-Olivero and Milton Cortes-Araya and Francisco Louzada}, year={2021} }

Normality is the most often mathematical supposition used in data modeling. Nonetheless, even based on the law of large numbers (LLN), normality is a strong presumption given that the presence of asymmetry and multi-modality in real-world problems is expected. Thus, a flexible modification in the Normal distribution proposed by Elal-Olivero [12] adds a skewness parameter, called Alpha-skew Normal (ASN) distribution, enabling bimodality and fat-tail, if needed, although sometimes not trivial to…

## One Citation

### Bayesian Reference Analysis for the Generalized Normal Linear Regression Model

- MathematicsSymmetry
- 2021

It is shown that the reference prior led to a proper posterior distribution, while the Jeffreys prior returned an improper one.

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