Matrix Algebra Theory, Computations and Applications in Statistics /

This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and previous ed...

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Bibliographic Details

Main Author:	Gentle, James E. (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Edition:	3rd ed. 2024.
Series:	Springer Texts in Statistics,
Subjects:	Statistics . Algebra. Mathematical statistics > Data processing. Computer science > Mathematics. Mathematical statistics. Mathematics > Data processing. Statistical Theory and Methods. Statistics and Computing. Probability and Statistics in Computer Science. Computational Mathematics and Numerical Analysis.
Online Access:	https://doi.org/10.1007/978-3-031-42144-0
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