© Brazilian Statistical Association, 2015. Diverse phenomena from the real-world can be modeled using random matrices, allowing matrix-variate distributions to be considered. The normal distribution is often employed in this modeling, but usually the mentioned random matrices do not follow such a distribution. An asymmetric non-normal model that is receiving considerable attention due to its good properties is the Birnbaum–Saunders (BS) distribution.We propose a statistical methodology based on matrix-variate BS distributions. This methodology is implemented in the statistical software R. A simulation study is conducted to evaluate its performance. Finally, an application with real-world matrixvariate data is carried out to illustrate its potentiality and suitability.
|Idioma original||Inglés estadounidense|
|Número de páginas||23|
|Publicación||Brazilian Journal of Probability and Statistics|
|Estado||Publicada - 1 ene. 2015|