  We present here a unit-log-symmetric model based on the bivariate
log-symmetric distribution. It is a flexible family of distributions over the
interval $(0, 1)$. We then discuss its mathematical properties such as
stochastic representation, symmetry, modality, moments, quantile function,
entropy and maximum likelihood estimators, paying particular attention to the
special cases of unit log-normal, unit-log-Student-$t$ and unit-log-Laplace
distributions. Finally, some empirical results and practical illustrations are
presented.
