Matrix algebra useful for statistics / Shayle R. Searle and Andrae I. Khuri.
By: Searle, Shayle R [author].
Contributor(s): Khuri, Andre I [author].
Material type: TextSeries: Wiley series in probability and statistics.Publisher: New Jersey : John Wiley & Sons, ©2017Edition: Second edition.Description: xxxi, 480 pages : illustrations ; 26 cm.ISBN: 9781118935149 (hbk).Subject(s): Matrices  Mathematical statisticsDDC classification: 512.9434Item type  Current location  Call number  Status  Date due  Barcode  Item holds  

Books 
ISI Library, Kolkata

512.9434 Se439 (Browse shelf)  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 fullrank linear models 
12. Lessthanfullrank 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 theoremproof format and is selfcontained. 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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