Matrix Algebra Useful for Statistics

This book is an easy-to-understand guide to matrix algebra and its uses in statistical analysis. The material is presented in an explanatory style rather than the formal theorem-proof format. This self-contained text includes numerous applied illustrations, numerical examples, and exercises.

Inhaltsverzeichnis

Basic Operations. Special Matrices. Determinants. Inverse Matrices. Rank. Canonical Forms. Generalized Inverses. Solving Linear Equations. Partitioned Matrices. Eigenvalues and Eigenvectors. Miscellanea. Applications in Statistics. The Matrix Algebra of Regression Analysis. An Introduction to Linear Statistical Models. References. Index.

Zusammenfassung

An easy to understand guide to matrix algebra and its uses in statistical analysis. Presents material in an explanatory style instead of the formal theorem-proof format; the only background necessary is high school algebra. The self-contained text includes numerous applied illustrations, numerical examples, and exercises.

Produktdetails

• Autoren: Searle, Bobbi Searle, S. R. Searle, Shayle R. Searle, Shayle Robert Searle, SEARLE SHAYLE R
• Verlag: Wiley, John and Sons Ltd
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 20.10.1982
• EAN: 9780471866817
• ISBN: 978-0-471-86681-7
• Seiten: 464
• Serien: Probability & Mathematical Sta; Probability & Mathematical Sta
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Arithmetik, Algebra