Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)
Original PDF نویسندگان: James E. Gentle
جزئیات
فرمت: Original PDF صفحات: 552 pages ناشر: Springer; 2007th edition (August 6, 2007) تاریخ انتشار نسخه الکترونیکی : August 6, 2007
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شابک: 9780387708720 لینک: https://www.amazon.com/dp/B00DZ0O7AQ
249,000 تومان
زمان تحویل: حداکثر 24 ساعت
توضیحات
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 equations, and extracting eigenvalues and eigenvectors.
249,000 تومان
زمان تحویل: حداکثر 24 ساعت