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...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Gentle, James E. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2007.
Édition:1st ed. 2007.
Collection:Springer Texts in Statistics,
Sujets:
Algebra.
Statistics .
Numerical analysis.
Computer science-Mathematics.
Mathematical statistics.
Computational intelligence.
Mathematics-Data processing.
Statistical Theory and Methods.
Numerical Analysis.
Probability and Statistics in Computer Science.
Computational Intelligence.
Computational Mathematics and Numerical Analysis.
Accès en ligne:Texto Completo
Table des matières:
  • 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
  • Applications in Data Analysis
  • Special Matrices and Operations Useful in Modeling and Data Analysis
  • Selected Applications in Statistics
  • Numerical Methods and Software
  • Numerical Methods
  • Numerical Linear Algebra
  • Software for Numerical Linear Algebra.

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