Stock image for illustration purposes only - book cover, edition or condition may vary.
Numerical Linear Algebra for Applications in Statistics
James E. Gentle
€ 68.51
FREE Delivery in Ireland
Description for Numerical Linear Algebra for Applications in Statistics
Hardback. Describes computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. This book begins with a discussion of the basics of numerical computations, and then describes the properties of matrix inverses, matrix factorizations, matrix and vector norms, and other topics in linear algebra. Series: Statistics and Computing. Num Pages: 221 pages, biography. BIC Classification: PBF; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 514.
Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. An understanding of numerical linear algebra requires basic knowledge both of linear algebra and of how numerical data are stored and manipulated in ... Read more
Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. An understanding of numerical linear algebra requires basic knowledge both of linear algebra and of how numerical data are stored and manipulated in ... Read more
Product Details
Format
Hardback
Publication date
1998
Publisher
Springer-Verlag New York Inc. United States
Number of pages
221
Condition
New
Series
Statistics and Computing
Number of Pages
221
Place of Publication
New York, NY, United States
ISBN
9780387985428
SKU
V9780387985428
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Numerical Linear Algebra for Applications in Statistics
From a review: JOURNAL OF AMERICAN STATISTICAL ASSOCIATION "Gentle brings to this book (as well as his other recent books on further aspects of statistical computing) his vast knowledge and experience in the mathematics of scientific computing, the practical aspects of software development, and teaching. The presentation is exceptionally clear and well-sign-boarded. ...The writing style, though ... Read more