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Multivariate statistics

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Abstract

When we learned about association measures and regression methods in the previous chapters, we gained a first glimpse into multivariate statistics. Multivariate methods allow for the joint study of statistical variables and their relationships between each other with the goal of capturing a complete picture of the data. In machine learning, this approach is essential, as predictions are based on a large number of features and their statistical characteristics.

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© 2023 Springer-Verlag GmbH Germany, part of Springer Nature

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Plaue, M. (2023). Multivariate statistics. In: Data Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-67882-4_5

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  • DOI: https://doi.org/10.1007/978-3-662-67882-4_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-67881-7

  • Online ISBN: 978-3-662-67882-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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