There has been a renewed interest in develo** more flexible statistical distributions in
recent decades. A major milestone in the methods for generating statistical distributions is …

Interest in the skew-normal and related families of distributions has grown enormously over
recent years, as theory has advanced, challenges of data have grown, and computational …

The paper extends earlier work on the so-called skew-normal distribution, a family of
distributions including the normal, but with an extra parameter to regulate skewness. The …

Azzalini and Dalla Valle have recently discussed the multivariate skew normal distribution
which extends the class of normal distributions by the addition of a shape parameter. The …

A widely adopted approach in research on unconscious perception and cognition involves
contrasting behavioral or neural responses to stimuli that have been presented to …

This paper provides an introductory overview of a portion of distribution theory which is
currently under intense development. The starting point of this topic has been the so‐called …

This book reviews the state-of-the-art advances in skew-elliptical distributions and provides
many new developments in a single volume, collecting theoretical results and applications …

Maximum likelihood (ML) provides a powerful and extremely general method for making
inferences over a wide range of data/model combinations. The likelihood function and …

A family of asymmetric distributions, which first appeared in Fechner (1897,
Kollectivmasslehre. Leipzig, Engleman) is reparameterized using a skewness parameter ε …

The univariate skew-normal distribution was introduced by Azzalini in 1985 as a natural
extension of the classical normal density to accommodate asymmetry. He extensively …