Matrix Algebra Theory, Computations, and Applications in Statistics /

• Κύριος συγγραφέας: Gentle, James E. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2007.
• Σειρά: Springer Texts in Statistics,
• Θέματα: Mathematics.; Numerical analysis.; Mathematical statistics.; Algebra.; Computer mathematics.; Statistics.; Computational intelligence.; Statistical Theory and Methods.; Numeric Computing.; Probability and Statistics in Computer Science.; Computational Intelligence.; Computational Mathematics and Numerical Analysis.

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...

Πίνακας περιεχομένων:

• 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.