Matrix Algebra: Theory, Computations and Applications in Statistics

全面涵蓋數據科學和統計理論中的矩陣代數
新版中新增了100多頁的額外材料和30個額外練習題
文字更加清晰，涵蓋範圍更全面

James E. Gentle is University Professor Emeritus at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science. He has held several national offices in the ASA and has served as associate editor of journals of the ASA, as well as for other journals in statistics and computing. He is author of Random Number Generation and Monte Carlo Methods, Computational Statistics, and Statistical Analysis of Financial Data. He is co-editor-in-chief of Wiley Interdisciplinary Reviews: Computational Statistics.

James E. Gentle是喬治梅森大學的名譽大學教授。他是美國統計學會（ASA）和美國科學促進協會的會士。他曾擔任ASA的多個國家職位，並擔任ASA期刊的副編輯，以及其他統計和計算期刊的編輯。他是《隨機數生成和蒙特卡羅方法》、《計算統計學》和《金融數據的統計分析》的作者。他是《Wiley跨學科綜述：計算統計學》的共同主編。