Robust Multivariate Analysis

Robust Multivariate Analysis

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May 23, 2018 · 英語 · ペーパーバック (517 ページ)
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本の詳細

形式 ペーパーバック
ページ数 517
言語 英語
公開されました May 23, 2018
出版社 Springer
Softcover reprint of the original 1st ed. 2017
ISBN-10 3319885715
ISBN-13 9783319885711

説明

David J. Olive presents a comprehensive exploration of multivariate analysis, focusing on robust methods that enhance data interpretation and accuracy. This book delves into the complexities of multivariate statistics, offering a clear framework for understanding various techniques that address challenges such as outliers and non-normality. Readers are guided through the landscape of advanced statistical approaches, with illustrative examples that make complex concepts accessible.

The author’s meticulous approach ensures that concepts are not only presented theoretically but also grounded in practical application. With an emphasis on robust methodologies, Olive equips statisticians and data analysts with the tools they need to tackle real-world problems, making informed decisions based on reliable analytics. This narrative stands as a crucial resource for both seasoned professionals and newcomers seeking to deepen their understanding of robust multivariate techniques in today’s data-driven world.
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