Matrix Analysis for Statistics: Third Edition
โ Scribed by James R. Schott
- Year
- 2015
- Tongue
- English
- Edition
- 3
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A complete, self-contained introduction to matrix analysis theory and practice Matrix methods have evolved from a tool for expressing statistical problems to an indispensable part of the development, understanding, and use of various types of complex statistical analyses. As such, they have bec
A complete, self-contained introduction to matrix analysis theory and practiceMatrix methods have evolved from a tool for expressing statistical problems to an indispensable part of the development, understanding, and use of various types of complex statistical analyses. As such, they have become a
<p><b>An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice</b></p> <p>Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, <i>Matrix Analysis for Statistics, Third Edition </i>features
This volume provides in-depth, step-by-step coverage of the most common matrix methods now used in statistical applications, including: eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; the distribution of quadratic forms and more. The subject matter is presented in a