Matrix Algebra Theory, Computations and Applications in Statistics

Matrix Algebra Theory, Computations and Applications in Statistics

PDF Free Download | 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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Matrix Algebra Theory, Computations and Applications in Statistics

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