Matrix Algebra Theory, Computations, and Applications in Statistics by James E. Gentle
Contents of Matrix Algebra eBook
- Part I Linear Algebra
- Basic Vector/Matrix Structure and Notation
- Vectors and Vector Spaces
- Basic Properties of Matrices
- Vector/Matrix Derivatives and Integrals
- Matrix Transformations and Factorizations
- Solution of Linear Systems
- Evaluation of Eigenvalues and Eigenvectors
- Part II Applications in Data Analysis
- Special Matrices and Operations Useful in Modeling and Data Analysis
- Selected Applications in Statistics .
- Part III Numerical Methods and Software
- Numerical Methods
- Numerical Linear Algebra
- Software for Numerical Linear Algebra
- Notation and Definitions
