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Matrix Algebra100%: James E. Gentle: Matrix Algebra (ISBN: 9783319648675) 2017, in Englisch, auch als eBook.
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100%: MATRIX ALGEBRA. THEORY, COMPUTATIONS, AND APPLICATIONS IN STATISTICS -: (ISBN: 9780387708720) 2007, 2007. Ausgabe, in Englisch, Broschiert.
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Matrix Algebra100%: James E. Gentle: Matrix Algebra (ISBN: 9780387708737) 2007, Springer, Deutschland, in Englisch, Taschenbuch.
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100%: MATRIX ALGEBRA. THEORY, COMPUTATIONS, AND APPLICATIONS IN STATISTICS -: (ISBN: 9781441924247) Springer, Deutschland, Erstausgabe, in Englisch, Taschenbuch.
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Matrix Algebra94%: James E. Gentle: Matrix Algebra (ISBN: 9783319648668) 2017, Springer International Publishing, 2. Ausgabe, in Deutsch, Taschenbuch.
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Matrix Algebra. Theory, Computations, and Applications in Statistics. (= Springer Texts in Statistics).93%: Gentle, James E: Matrix Algebra. Theory, Computations, and Applications in Statistics. (= Springer Texts in Statistics). (ISBN: 9781994510102) 2007, in Englisch.
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9780387708737 - James E. Gentle: Matrix Algebra
James E. Gentle

Matrix Algebra

Lieferung erfolgt aus/von: Österreich ~EN NW EB DL

ISBN: 9780387708737 bzw. 0387708731, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.

Fr. 31.51 ( 32.12)¹
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Lieferung aus: Österreich, In Stock, plus shipping.
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariate calculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained. The second part of the book begins with a consideration of various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. The second part also describes some of the many applications of matrix theory in statistics, including linear models, multivariate analysis, and stochastic processes. The brief coverage in this part illustrates the matrix theory developed in the first part of the book. The first two parts of the book can be used as the text for a course in matrix algebra for statistics students, or as a supplementary text for various courses in linear models or multivariate statistics. The third part of this book covers numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes accurate and efficient 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. This part is essentially self-contained, although it assumes some ability to program in Fortran or C and/or the ability to use R/S-Plus or Matlab. This part of the book can be used as the text for a course in statistical computing, or as a supplementary text for various courses that emphasize computations. The book includes a large number of exercises with some solutions provided in an appendix. eBook.
2
9780387708720 - Springer New York: Matrix Algebra: Theory, Computations, and Applications in Statistics
Springer New York

Matrix Algebra: Theory, Computations, and Applications in Statistics (2007)

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN NW

ISBN: 9780387708720 bzw. 0387708723, in Englisch, Springer New York, Springer New York, Springer New York, neu.

Fr. 57.98 ($ 78.99)¹
unverbindlich
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25.
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariate calculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained.The second part of the book begins with a consideration of various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. The second part also describes some of the many applications of matrix theory in statistics, including linear models, multivariate analysis, and shastic processes. The brief coverage in this part illustrates the matrix theory developed in the first part of the book. The first two parts of the book can be used as the text for a course in matrix algebra for statistics students, or as a supplementary text for various courses in linear models or multivariate statistics.The third part of this book covers numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes accurate and efficient 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. This part is essentially self-contained, although it assumes some ability to program in Fortran or C and/or the ability to use R/S-Plus or Matlab. This part of the book can be used as the text for a course in statistical computing, or as A.
3
9780387708720 - Matrix Algebra: Theory, Computations, and Applications in Statistics

Matrix Algebra: Theory, Computations, and Applications in Statistics

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN NW

ISBN: 9780387708720 bzw. 0387708723, in Englisch, Springer New York, Springer New York, neu.

Fr. 70.28 ($ 79.20)¹
unverbindlich
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25, in-stock.
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariate calculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained. The second part of the book begins with a consideration of various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. The second part also describes some of the many applications of matrix theory in statistics, including linear models, multivariate analysis, and shastic processes. The brief coverage in this part illustrates the matrix theory developed in the first part of the book. The first two parts of the book can be used as the text for a course in matrix algebra for statistics students, or as a supplementary text for various courses in linear models or multivariate statistics. The third part of this book covers numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes accurate and efficient 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. This part is essentially self-contained, although it assumes some ability to program in Fortran or C and/or the ability to use R/S-Plus or Matlab. This part of the book can be used as the text for a course in statistical computing, or as A.
4
9780387708737 - James E. Gentle: Matrix Algebra - Theory, Computations, and Applications in Statistics
James E. Gentle

Matrix Algebra - Theory, Computations, and Applications in Statistics

Lieferung erfolgt aus/von: Deutschland ~EN NW EB DL

ISBN: 9780387708737 bzw. 0387708731, vermutlich in Englisch, Springer New York, neu, E-Book, elektronischer Download.

Fr. 84.08 ( 85.70)¹ + Versand: Fr. 22.57 ( 23.00)¹ = Fr. 106.65 ( 108.70)¹
unverbindlich
Lieferung aus: Deutschland, Free shipping.
Matrix Algebra: Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariate calculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained. The second part of the book begins with a consideration of various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. The second part also describes some of the many applications of matrix theory in statistics, including linear models, multivariate analysis, and stochastic processes. The brief coverage in this part illustrates the matrix theory developed in the first part of the book. The first two parts of the book can be used as the text for a course in matrix algebra for statistics students, or as a supplementary text for various courses in linear models or multivariate statistics. The third part of this book covers numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes accurate and efficient 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. This part is essentially self-contained, although it assumes some ability to program in Fortran or C and/or the ability to use R/S-Plus or Matlab. This part of the book can be used as the text for a course in statistical computing, or as a supplementary text for various courses that emphasize computations. The book includes a large number of exercises with some solutions provided in an appendix. Englisch, Ebook.
5
9783319648675 - James E. Gentle: Matrix Algebra - Theory, Computations and Applications in Statistics
James E. Gentle

Matrix Algebra - Theory, Computations and Applications in Statistics

Lieferung erfolgt aus/von: Deutschland ~EN NW EB DL

ISBN: 9783319648675 bzw. 3319648675, vermutlich in Englisch, Springer International Publishing, neu, E-Book, elektronischer Download.

Fr. 80.17 ( 81.71)¹
versandkostenfrei, unverbindlich
Lieferung aus: Deutschland, Versandkostenfrei.
Matrix Algebra: Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariate calculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained.The second part of the book begins with a consideration of various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. The second part also describes some of the many applications of matrix theory in statistics, including linear models, multivariate analysis, and stochastic processes. The brief coverage in this part illustrates the matrix theory developed in the first part of the book. The first two parts of the book can be used as the text for a course in matrix algebra for statistics students, or as a supplementary text for various courses in linear models or multivariate statistics.The third part of this book covers numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes accurate and efficient 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. This part is essentially self-contained, although it assumes some ability to program in Fortran or C and/or the ability to use R/S-Plus or Matlab. This part of the book can be used as the text for a course in statistical computing, or as a supplementary text for various courses that emphasize computations.The book includes a large number of exercises with some solutions provided in an appendix. Englisch, Ebook.
6
9780387708737 - James E. Gentle: Matrix Algebra
James E. Gentle

Matrix Algebra (2007)

Lieferung erfolgt aus/von: Deutschland ~EN NW EB

ISBN: 9780387708737 bzw. 0387708731, vermutlich in Englisch, Springer New York, neu, E-Book.

Fr. 87.55 ( 89.24)¹
versandkostenfrei, unverbindlich
This much-needed work presents, among other things, the relevant aspects of the theory of matrix algebra for applications in statistics. Written in an informal style, it addresses computational issues and places more emphasis on applications than existing texts. Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. 06.08.2007, PDF.
7
9780387708720 - James E. Gentle: Matrix Algebra
James E. Gentle

Matrix Algebra (2007)

Lieferung erfolgt aus/von: Deutschland EN NW

ISBN: 9780387708720 bzw. 0387708723, in Englisch, Springer-Verlag Gmbh Aug 2007, neu.

Fr. 78.68 ( 80.20)¹ + Versand: Fr. 13.74 ( 14.00)¹ = Fr. 92.42 ( 94.20)¹
unverbindlich
Von Händler/Antiquariat, sparbuchladen [52968077], Göttingen, NDS, Germany.
Neuware - Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. 530 pp. Englisch.
8
9783319648675 - James E. Gentle: Matrix Algebra
James E. Gentle

Matrix Algebra (2017)

Lieferung erfolgt aus/von: Vereinigtes Königreich Grossbritannien und Nordirland EN NW EB DL

ISBN: 9783319648675 bzw. 3319648675, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.

Fr. 68.86 (£ 63.35)¹
versandkostenfrei, unverbindlich
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, in-stock.
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consi.
9
9780387708737 - Springer New York: Matrix Algebra
Symbolbild
Springer New York

Matrix Algebra

Lieferung erfolgt aus/von: Deutschland EN NW

ISBN: 9780387708737 bzw. 0387708731, in Englisch, Springer, Deutschland, neu.

Fr. 78.68 ( 80.20)¹
versandkostenfrei, unverbindlich
Lieferung aus: Deutschland, Sofort per Download lieferbar.
This much-needed work presents, among other things, the relevant aspects of the theory of matrix algebra for applications in statistics. Written in an informal style, it addresses computational issues and places more emphasis on applications than existing texts. Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors.
10
9780387708720 - James E. Gentle: Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)
James E. Gentle

Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics) (2007)

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN HC US

ISBN: 9780387708720 bzw. 0387708723, in Englisch, 530 Seiten, 2007. Ausgabe, Springer, gebundenes Buch, gebraucht.

Fr. 60.04 ($ 67.67)¹ + Versand: Fr. 3.54 ($ 3.99)¹ = Fr. 63.59 ($ 71.66)¹
unverbindlich
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, PBShop UK.
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors., Hardcover, Ausgabe: 2007, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2007-07-27, Studio: Springer, Verkaufsrang: 538648.
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