1998, ISBN: 0387985425
[EAN: 9780387985428], Neubuch, [PU: Springer New York Aug 1998], ALGEBRA / LINEARE ALGEBRA; STATISTIK; ANALYSIS; EIGENVALUE; EIGENVECTOR; FITTING; MATRIX; ALGORITHMS; BESTFIT; COMPUTER; L… More...
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1998, ISBN: 0387985425
[EAN: 9780387985428], Neubuch, [SC: 0.0], [PU: Springer New York], ALGEBRA / LINEARE ALGEBRA; STATISTIK; ANALYSIS; EIGENVALUE; EIGENVECTOR; FITTING; MATRIX; ALGORITHMS; BESTFIT; COMPUTER;… More...
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1998, ISBN: 0387985425
[EAN: 9780387985428], Neubuch, [PU: Springer New York], ALGEBRA / LINEARE ALGEBRA; STATISTIK; ANALYSIS; EIGENVALUE; EIGENVECTOR; FITTING; MATRIX; ALGORITHMS; BESTFIT; COMPUTER; LINEARALGE… More...
AbeBooks.de AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)] NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) Details... |
ISBN: 9780387985428
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 an… More...
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ISBN: 9780387985428
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 an… More...
Springer.com Nr. 978-0-387-98542-8. Shipping costs:Worldwide free shipping, , DE. (EUR 0.00) Details... |
1998, ISBN: 0387985425
[EAN: 9780387985428], Neubuch, [PU: Springer New York Aug 1998], ALGEBRA / LINEARE ALGEBRA; STATISTIK; ANALYSIS; EIGENVALUE; EIGENVECTOR; FITTING; MATRIX; ALGORITHMS; BESTFIT; COMPUTER; L… More...
1998, ISBN: 0387985425
[EAN: 9780387985428], Neubuch, [SC: 0.0], [PU: Springer New York], ALGEBRA / LINEARE ALGEBRA; STATISTIK; ANALYSIS; EIGENVALUE; EIGENVECTOR; FITTING; MATRIX; ALGORITHMS; BESTFIT; COMPUTER;… More...
1998
ISBN: 0387985425
[EAN: 9780387985428], Neubuch, [PU: Springer New York], ALGEBRA / LINEARE ALGEBRA; STATISTIK; ANALYSIS; EIGENVALUE; EIGENVECTOR; FITTING; MATRIX; ALGORITHMS; BESTFIT; COMPUTER; LINEARALGE… More...
ISBN: 9780387985428
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 an… More...
ISBN: 9780387985428
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 an… More...
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Details of the book - Numerical Linear Algebra for Applications in Statistics James E. Gentle Author
EAN (ISBN-13): 9780387985428
ISBN (ISBN-10): 0387985425
Hardcover
Paperback
Publishing year: 1998
Publisher: Springer New York Core >2 >T
240 Pages
Weight: 0,526 kg
Language: eng/Englisch
Book in our database since 2007-05-03T13:50:45-04:00 (New York)
Detail page last modified on 2024-02-27T07:31:05-05:00 (New York)
ISBN/EAN: 0387985425
ISBN - alternate spelling:
0-387-98542-5, 978-0-387-98542-8
Alternate spelling and related search-keywords:
Book author: gentle, haerdle, james mason, george field
Book title: numerical, linear applications, all statistics, linear algebra done right
Information from Publisher
Author: James E. Gentle
Title: Statistics and Computing; Numerical Linear Algebra for Applications in Statistics
Publisher: Springer; Springer US
221 Pages
Publishing year: 1998-08-13
New York; NY; US
Language: English
54,99 € (DE)
BB; Hardcover, Softcover / Mathematik/Arithmetik, Algebra; Algebra; Verstehen; Analysis; Eigenvalue; Eigenvector; Fitting; Matrix; algebra; algorithms; best fit; computer; linear algebra; statistics; matrix theory; Algebra; Statistics and Computing; Linear Algebra; Wahrscheinlichkeitsrechnung und Statistik; Mathematische und statistische Software; BC
1 Computer Storage and Manipulation of Data.- 1.1 Digital Representation of Numeric Data.- 1.2 Computer Operations on Numeric Data.- 1.3 Numerical Algorithms and Analysis.- Exercises.- 2 Basic Vector/Matrix Computations.- 2.1 Notation, Definitions, and Basic Properties.- 2.2 Computer Representations and Basic Operations.- Exercises.- 3 Solution of Linear Systems.- 3.1 Gaussian Elimination.- 3.2 Matrix Factorizations.- 3.3 Iterative Methods.- 3.4 Numerical Accuracy.- 3.5 Iterative Refinement.- 3.6 Updating a Solution.- 3.7 Overdetermined Systems; Least Squares.- 3.8 Other Computations for Linear Systems.- Exercises.- 4 Computation of Eigenvectors and Eigenvalues and the Singular Value Decomposition.- 4.1 Power Method.- 4.2 Jacobi Method.- 4.3 QR Method for Eigenanalysis.- 4.4 Singular Value Decomposition.- Exercises.- 5 Software for Numerical Linear Algebra.- 5.1 Fortran and C.- 5.2 Interactive Systems for Array Manipulation.- 5.3 High-Performance Software.- 5.4 Test Data.- Exercises.-6 Applications in Statistics.- 6.1 Fitting Linear Models with Data.- 6.2 Linear Models and Least Squares.- 6.3 Ill-Conditioning in Statistical Applications.- 6.4 Testing the Rank of a Matrix.- 6.5 Stochastic Processes.- Exercises.- Appendices.- A Notation and Definitions.- B Solutions and Hints for Selected Exercises.- Literature in Computational Statistics.- World Wide Web, News Groups, List Servers, and Bulletin Boards.- References.- Author Index.More/other books that might be very similar to this book
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