Matrix Algebra : Theory, Computations, and Applications in Statistics
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vecto...
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizioa: | 1st edition. |
| Saila: | Springer Texts in Statistics
|
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
L'impression du document génère 536 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Matrix algebra, theory, computations, and applications in statistics, James E. Gentle, New York (N.Y.), Springer Science + Business Media, 2007, 1 vol. (XXIII-528 p.), Springer texts in statistics, 978-0-387-70872-0 |
Aurkibidea:
- Contient des exercices