Matrix Algebra Theory, Computations and Applications in Statistics

Matrix Algebra Theory, Computations and Applications in Statistics

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

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