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Titlebook: Multivariate Statistical Analysis in the Real and Complex Domains; Arak M. Mathai,Serge B. Provost,Hans J. Haubold Textbook‘‘‘‘‘‘‘‘ 2022 T

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發(fā)表于 2025-3-21 16:05:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Multivariate Statistical Analysis in the Real and Complex Domains
編輯Arak M. Mathai,Serge B. Provost,Hans J. Haubold
視頻videohttp://file.papertrans.cn/642/641328/641328.mp4
概述Explores topics in multivariate statistical analysis, relevant in real and complex domains.Utilizes simplified and unified notations which makes the subject matter accessible and enjoyable.Features an
圖書封面Titlebook: Multivariate Statistical Analysis in the Real and Complex Domains;  Arak M. Mathai,Serge B. Provost,Hans J. Haubold Textbook‘‘‘‘‘‘‘‘ 2022 T
描述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..
出版日期Textbook‘‘‘‘‘‘‘‘ 2022
關(guān)鍵詞multivariate statistical analysis; mathematical statistics; complex domain; matrix-variate; Gaussian dis
版次1
doihttps://doi.org/10.1007/978-3-030-95864-0
isbn_softcover978-3-030-95866-4
isbn_ebook978-3-030-95864-0
copyrightThe Editor(s) (if applicable) and The Author(s) 2022
The information of publication is updating

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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..978-3-030-95866-4978-3-030-95864-0
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Textbook‘‘‘‘‘‘‘‘ 2022 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.
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Textbook‘‘‘‘‘‘‘‘ 2022n 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..
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