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Matrix Algebra

Matrix Algebra Theory, Computations and Applications in Statistics

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Springer Texts in Statistics

Matrix Algebra

Theory, Computations and Applications in Statistics

James E. Gentle

Mathematics / Probability & Statistics / General

Comprehensive coverage of matrix algebra for data science and statistical theory

Over 100 pages of additional material and 30 extra exercises in the new edition

Even clearer text and more comprehensive coverage

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 MethodsComputational Statistics, and Statistical Analysis of Financial Data. He is co-editor-in-chief of Wiley Interdisciplinary Reviews: Computational Statistics.


Publication Date: 07 March 2025
Publisher: Springer International Publishing
Imprint: Springer
ISBN-13: 9783031516450
Format: Paperback / softback
Page Count: 693

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