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.
發表於2024-12-26
Matrix Analysis for Statistics (Wiley Series in Probability and Statistics) 2024 pdf epub mobi 電子書 下載
圖書標籤: 矩陣 統計 矩陣分析
Matrix Analysis for Statistics (Wiley Series in Probability and Statistics) 2024 pdf epub mobi 電子書 下載