An Exponentiated Multivariate Extension for the Birnbaum-Saunders Log-Linear Model

In this work, a bivariate extension of the univariate exponentiated sinh-normal distribution is proposed. The properties new distribution, which called are studied in detail, and maximum likelihood method considered to estimate unknown model parameters. addition, case regression models Monte Carlo simulation experiments carried out investigate performance used estimation method, two applications real datasets presented for illustrative purposes.