Robust Multivariate Analysis

Robust Multivariate Analysis

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May 23, 2018 · 영어 · 페이퍼백 (517 페이지)
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형식 페이퍼백
페이지 517
언어 영어
출판됨 May 23, 2018
출판사 Springer
Softcover reprint of the original 1st ed. 2017
ISBN-10 3319885715
ISBN-13 9783319885711

설명

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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