Symmetric Multivariate and Related Distributions

"Symmetric Multivariate and Related Distributions" by Kai Wang Fang is an essential resource for anyone interested in the advanced field of probability theory. Published by Taylor & Francis Ltd in 2017, this hardback edition spans 230 pages and delves into the intricate world of multivariate distribution theory. The book is particularly focused on non-normal symmetric multivariate distributions, presenting complex concepts in a manner that is approachable even for those with a foundational understanding of advanced real-analysis calculus, linear algebra, and elementary matrix calculus. Whether you are a student, researcher, or practitioner in statistics, this volume will enhance your comprehension of multivariate distributions and their applications. Don't miss your chance to expand your knowledge with this comprehensive guide from a respected author in the field.