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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| 主要作者: | Gentle, James E. (Author) |
|---|---|
| 企業作者: | SpringerLink (Online service) |
| 格式: | 電子 電子書 |
| 語言: | 英语 |
| 出版: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
|
| 版: | 3rd ed. 2024. |
| 叢編: | Springer Texts in Statistics,
|
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-3-031-42144-0 |
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