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Multivariate Statistical Analysis in the Real and Complex Domains
- Publication Year :
- 2022
- Publisher :
- Cham: Springer Nature; Springer International Publishing, 2022.
-
Abstract
- 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.
- Subjects :
- multivariate statistical analysis
mathematical statistics
complex domain
matrix-variate
Gaussian distributions
Wishart distribution
type-1 distributions
type-2 distributions
factor analysis
classifications
cluster
profile analyses
bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBT Probability & statistics
bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics
bic Book Industry Communication::P Mathematics & science::PH Physics::PHS Statistical physics
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-95864-0
3-030-95864-7 - ISBNs :
- 9783030958640 and 3030958647
- Database :
- OAPEN Library
- Notes :
- ONIX_20221118_9783030958640_49
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.59381
- Document Type :
- book
- Full Text :
- https://doi.org/10.1007/978-3-030-95864-0