Multivariate statistical analysis in the real and complex domains

This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and numerous illustrative examples. The book featur...

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Bibliographic Details
Main Authors Mathai, Arak M, Provost, Serge B, Haubold, Hans J
Format eBook Book
LanguageEnglish
Published Cham Springer 2022
Springer Nature
Springer International Publishing AG
Edition1
Subjects
Applied mathematics
classifications
cluster
complex domain
factor analysis
Gaussian distributions
mathematical statistics
Mathematics
Mathematics and Science
matrix-variate
Multivariate analysis
multivariate statistical analysis
Physics
Probability and statistics
profile analyses
Statistical physics
type-1 distributions
type-2 distributions
Wishart distribution
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Summary:This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and numerous illustrative examples. The book features an in-depth treatment of theory with a fair balance of applied coverage, and a classroom lecture style so that the learning process feels organic. It also contains original results, with the goal of driving research conversations forward. This will be particularly useful for researchers working in machine learning, biomedical signal processing, and other fields that increasingly rely on complex random variables to model complex-valued data. It can also be used in advanced courses on multivariate analysis. Numerous exercises are included throughout.
ISBN:3030958639
9783030958633
3030958647
9783030958640
DOI:10.1007/978-3-030-95864-0