[PDF / Epub] ☄ Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics) By James E. Gentle – Izmirescort.pro Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory This much needed work presents the relevant aspects of the theory of matrix algebra for apMatrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory This much needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics It moves on to consider the various types of matrices encountered in statistics such as projection matrices and positive definite matrices and describes the special properties of those matrices Finally it covers numerical linear algebra beginning with a discussion of the basics of numerical computations and following up with accurate and efficient algorithms for factoring matrices solving linear systems of euations and extracting eigenvalues and eigenvectors.

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory This much needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics It moves on to consider the various types of matrices encountered in statistics such as projection matrices and positive definite matrices and describes the special properties of those matrices Finally it covers numerical linear algebra beginning with a discussion of the basics of numerical computations and following up with accurate and efficient algorithms for factoring matrices solving linear systems of euations and extracting eigenvalues and eigenvectors.

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