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Matrix analysis for statistics / James R. Schott.

By: Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: New Jersey : John Wiley, ©2017.Edition: 3rd edDescription: xiii, 520 pages : illustrations ; 25 cmISBN:
  • 9781119092483
Subject(s): DDC classification:
  • 512.9434 23 Sch375
Contents:
1. A review of elementary matrix algebra -- 2. Vector spaces -- 3. Eigenvalues and eigenvectors -- 4. Matrix factorizations and matrix norms -- 5. Generalized inverses -- 6. Systems of linear equations -- 7. Partitioned matrices -- 8. Special matrices and matrix operations -- 9. Matrix derivatives and related topics -- 10. Inequalities -- 11. Some special topics related to quadratic forms.
Summary: An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 512.9434 Sch375 (Browse shelf(Opens below)) Available 137743
Total holds: 0

Includes bibliographical references and index.

1. A review of elementary matrix algebra --
2. Vector spaces --
3. Eigenvalues and eigenvectors --
4. Matrix factorizations and matrix norms --
5. Generalized inverses --
6. Systems of linear equations --
7. Partitioned matrices --
8. Special matrices and matrix operations --
9. Matrix derivatives and related topics --
10. Inequalities --
11. Some special topics related to quadratic forms.

An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format.

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