Skip to main content alibris logo

Matrix Algebra: Theory, Computations and Applications in Statistics (2nd 2017 edition)

by

Write The First Customer Review
Matrix Algebra: Theory, Computations and Applications in Statistics - Gentle, James E
Filter Results
Item Condition
Seller Rating
Other Options
Change Currency

This textbook for graduate and advanced undergraduate students 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 the second edition of this very popular textbook provides essential updates and comprehensive coverage on critical topics in mathematics in data science and in statistical theory. Part I ...

loading
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