Matrix algebra useful for statistics / Shayle R. Searle and Andrae I. Khuri.
Material type:
- 9781118935149 (hbk)
- 512.9434 23 Se439
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 512.9434 Se439 (Browse shelf(Opens below)) | Available | 138274 |
Includes bibliographical references and index.
1. Vector spaces, subspaces, and linear transformations --
2. Matrix notation and terminology --
3. Determinants --
4. Matrix Operations --
5. Special matrices --
6. Eigenvalues and eigenvectors --
7. Diagonalization of matrices --
8. Generalized inverses --
9. Matrix calculus --
10. Multivariate distributions and quadratic forms --
11. Matrix algebra of full-rank linear models --
12. Less-than-full-rank linear models --
13. Analysis of balanced linear models using direct products of matrices --
14. Multiresponse models --
15. SAS/IML --
16. Use of MATLAB in matrix computations --
17. Use of R in matrix computations.
This book addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations.
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