Matrix Analysis for Statistics (Wiley Series in Probability and Statistics)

出版者:Wiley-Interscience

作者:James R. Schott

页数:480

出版时间:2005-01-12

价格:USD 115.00

装帧:Hardcover

isbn号码:9780471669838

丛书系列:Wiley Series in Probability and Statistics

图书标签:矩阵统计矩阵分析

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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. The subject matter is presented in a theorem/proof format, allowing for a smooth transition from one topic to another. Proofs are easy to follow, and the author carefully justifies every step. Accessible even for readers with a cursory background in statistics, yet rigorous enough for students in statistics, this new edition is the ideal introduction to matrix analysis theory and practice.