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Flexible Power-Normal Models with Applications

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Abstract:

The main object of this paper is to propose a new asymmetric model more flexible than the generalized Gaussian model. The probability density function of the new model can assume bimodal or unimodal shapes, and one of the parameters controls the skewness of the model. Three simulation studies are reported and two real data applications illustrate the flexibility of the model compared with traditional proposals in the literature.

Tópico:

Bayesian Methods and Mixture Models

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Citations: 1
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Información de la Fuente:

SCImago Journal & Country Rank
FuenteMathematics
Cuartil año de publicaciónNo disponible
Volumen9
Issue24
Páginas3183 - 3183
pISSNNo disponible
ISSNNo disponible

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