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Matrix Algebra: Theory, Computations, and Applications in Statistics

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Matrix Algebra: Theory, Computations and Applications in Statistics - Gentle, James E.
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This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and previous editions had essential updates and comprehensive coverage on critical topics in mathematics. This 3rd edition offers a self-contained description of relevant aspects of matrix algebra for applications in statistics. It begins with ...

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Matrix Algebra: Theory, Computations and Applications in Statistics 2024, Springer International Publishing AG, Cham

ISBN-13: 9783031421433

3rd edition 2024

Hardcover

Matrix Algebra: Theory, Computations and Applications in Statistics 2017, Springer, Cham

ISBN-13: 9783319648668

2nd 2017 edition

Trade paperback

Matrix Algebra: Theory, Computations, and Applications in Statistics 2010, Springer

ISBN-13: 9781441924247

Trade paperback

Matrix Algebra: Theory, Computations, and Applications in Statistics 2007, Springer, New York, NY

ISBN-13: 9780387708720

2007 edition

Hardcover