Description
This book reviews the state-of-the-art advances in skew-elliptical distributions and provides many new developments in a single volume. The book is divided into two parts, the first part discussing theory and inference for skew-elliptical distribution, and the second part examining applications and case studies.
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 examines applications and case studies, including areas such as economics, finance, oceanography, climatology, environmetrics, engineering, image processing, astronomy, and biomedical science.
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