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...

詳細記述

書誌詳細

第一著者:	Gentle, James E. (著者)
団体著者:	SpringerLink (Online service)
フォーマット:	電子媒体 eBook
言語:	英語
出版事項:	Cham : Springer International Publishing : Imprint: Springer, 2024.
版:	3rd ed. 2024.
シリーズ:	Springer Texts in Statistics,
主題:	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.
オンライン･アクセス:	https://doi.org/10.1007/978-3-031-42144-0
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