[PDF.70mj] Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)

Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)

[PDF.ww44] Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)

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 | #1028114 in Books |  Springer |  2007-07-27 | Original language:English | PDF # 1 |  9.21 x1.19 x6.14l,1.95 | File type: PDF | 530 pages

 | Springer

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||16 of 18 people found the following review helpful.| Beautiful book|By Ricardo C. Martini|I think it's one of the best books on the subject, all theorems with demonstration, a lot of examples and problems solved (I like specially the chapter about Generalized Inverse matrix)... ...written in Latex so it looks very "beautiful"...ALL what you wanted to know about matrix theory is in this book ... very rigourous, with modern notat| ||From the reviews: |"[T]his well-written book on matrix algebra reminds me of many classics in the field. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used in statistical methods. The book seems best

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, beg...

You can specify the type of files you want, for your device.Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)   |  James E. Gentle. Just read it with an open mind because none of us really know.

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