Multivariate Statistical Analysis in the Real and Complex Domains

This book provides a comprehensive and accessible introduction to multivariate statistical analysis, suitable for researchers and advanced students in machine learning, biomedical signal processing, and other fields. It covers theory and application with a balance of clear exposition and illustrative examples, and includes original research results to stimulate research conversations.

Format: Hardback
Length: 912 pages
Publication date: 06 October 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of multivariate statistical analysis, offering valuable insights applicable to both real-world and complex domains. By employing simplified and unified notations, it makes the intricate subject matter accessible and engaging, drawing from clear exposition and numerous illustrative examples. The book strikes a balance between theoretical exploration and practical application, employing a classroom lecture style to facilitate an organic learning experience. Additionally, it features original research results, aimed at stimulating conversations and advancing the field. This book is particularly valuable for researchers working in machine learning, biomedical signal processing, and other areas that increasingly rely on complex random variables to model complex-valued data. It can also serve as a resource for advanced courses on multivariate analysis. Throughout the text, numerous exercises are provided to reinforce understanding and application of the concepts discussed.

Weight: 2540g
Dimension: 279 x 210 (mm)
ISBN-13: 9783030958633
Edition number: 1st ed. 2022