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 previously scattered throughout the literature. The main goal of this research area is to develop flexible parametric classes of distributions beyond the classical normal distribution. The book is divided into two parts. The first part discusses theory and inference for skew-elliptical distribution. The second part presents applications and case studies in areas such as economics, finance, oceanography, climatology, environmetrics, engineering, image processing, astronomy, and biomedical science.
"This book brings together theoretical and applied work on skewed multivariate distributions. There is an impressive list of topics and authors. The book does a good job of advertising these skewed distributions as flexible families of error distributions for data where symmetry is not appropriate." -Short Book Reviews of the International Statistical Institute