In the last two decades or so, much work has been dedicated to the portion of distribution
theory stemming from the skew-normal distribution and its ramification. This contribution …

The literature on non-normal model-based clustering has continued to grow in recent years.
The non-normal models often take the form of a mixture of component densities that offer a …

A unified formula for various moments of the multivariate normal distribution with sectional
truncation is derived using a non-recursive method, where sectional truncation is given by …

In this paper, a new extended skew-normal-based stochastic frontier model (SFM) is
proposed to investigate the relationship between the disturbance U (representing technical …

Probability distributions are the building blocks of statistical modeling and inference. It is
therefore of the utmost importance to know which distribution to use in what circumstances …

Context. Active regions on the photosphere of a star have been the major obstacle for
detecting Earth-like exoplanets using the radial velocity (RV) method. A commonly …

In this work, we establish some stochastic comparison results for the class of scale-shape
mixtures of multivariate skew-normal (SSSN) distributions. These multivariate stochastic …

In this paper, a new skew normal copula-based stochastic frontier model (SFM) is proposed
to investigate the asymmetric dependence among the disturbances U (representing …

The unified skew-t (SUT) is a flexible parametric multivariate distribution that accounts for
skewness and heavy tails in the data. A few of its properties can be found scattered in the …

In this paper, a new multivariate skew normal-based stochastic frontier model (SFM) is
developed to model the relationship between technical inefficiency and random noises. The …