Written by two top statisticians with experience in teaching matrix methods for applications in statistics, econometrics and related areas, this book provides a comprehensive treatment of the latest techniques in matrix algebra. A well-balanced approach to discussing the mathematical theory and appl
Matrix Algebra and Its Applications to Statistics and Econometrics
โ Scribed by Imhof, Lorens A
- Book ID
- 127100745
- Publisher
- American Statistical Association
- Year
- 2003
- Tongue
- English
- Weight
- 101 KB
- Volume
- 98
- Category
- Article
- ISSN
- 0162-1459
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This text is a self-contained and unified treatment of matrix differential calculus, specifically written for econometricians and statisticians. It can serve as a textbook for advanced undergraduates and postgraduates in econometrics and as a reference book for practising econometricians.
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vecto
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vecto