  In environmental studies, many data are typically skewed and it is desired to
have a flexible statistical model for this kind of data. In this paper, we
study a class of skewed distributions by invoking arguments as described by
Ferreira and Steel (2006, Journal of the American Statistical Association, 101:
823--829). In particular, we consider using the logistic kernel to derive a
class of univariate distribution called the truncated-logistic skew symmetric
(TLSS) distribution. We provide some structural properties of the proposed
distribution and develop the statistical inference for the TLSS distribution. A
simulation study is conducted to investigate the efficacy of the maximum
likelihood method. For illustrative purposes, two real data sets from
environmental studies are used to exhibit the applicability of such a model.
