Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Normal view MARC view ISBD view

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: TextTextSeries: 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: 512.9434
Contents:
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.
Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
512.9434 Se439 (Browse shelf) Available 138274
Total holds: 0

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.

There are no comments for this item.

Log in to your account to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


Visitor Counter