Collects state-of-the-art advances and new developments in skew-elliptical distribution into a single volume
Presents peer-reviewed chapters contributed by a stellar panel of top researchers in the field
Offers the broad, multiple perspectives of both Bayesians and frequentists
Balances an in-depth treatment of theory with case studies and applications from diverse areas including biostatistics, finance, oceanography, environmental science, and engineering

In recent years, research has generated important advances in theory and applications of skew-elliptical distributions. This is an exciting and fast-growing field of research that brings together both frequentist and Bayesian statisticians. Along with an explosion of interest in this new area of research has come a virtually unlimited potential for applications.

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 biostatistics, finance, oceanography, environmental science, and engineering.

Each chapter is authored by leading specialists in key areas of research. With a fine balance between theory and application, this book is intended for a large readership, including statisticians and practitioners from other fields. With exceptional cohesion for a contributed work, Skew-Elliptical Distributions and Their Applications offers a unique opportunity to explore this exciting new field, understand its most recent advances, and apply them to your own area of research and applications.