Matrix analysis for statistics

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Matrix analysis for statistics

Matrix Analysis for Statistics, Second Edition provides in-depth, step-by-step coverage of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; the distribution of quadratic forms; and more. Th...

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Библиографические подробности
Главный автор:	Schott, James R.
Формат:	‌
Язык:	Undetermined
Опубликовано:	Hoboken, N.J. Wiley 2005
Предметы:	Matrices,Mathematical statistics,Ma trận,Thống kê toán học
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ

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