Multivariate Statistical Analysis in the Real and Complex Domains (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	October 2022
First published:	2022
Authors:	Arak M. Mathai • Serge B. Provost • Hans J. Haubold
Dimensions:	279 x 210mm (L x W)
Format:	Hardcover
Pages:	921
Edition:	1st ed. 2022
ISBN-13:	978-3-03-095863-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Promotions
LSN:	3-03-095863-9
Barcode:	9783030958633

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