Introduction Statistical Analysis Random (30 results)
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Published by Misclenious Publishers 1998
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Hardback. Condition: New. Reprint 2018. No detailed description available for "An Introduction to Statistical Analysis of Random Arrays".
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Hardback. Condition: New. Reprint 2018. No detailed description available for "An Introduction to Statistical Analysis of Random Arrays".
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Condition: New. 1998. Hardcover. . . . . .
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. No detailed description available for An Introduction to Statistical Analysis of Random Arrays .Frontmatter -- CONTENTS -- List of basic notations and assumptions -- Preface and some historical remarks -- Ch…apter 1. Introduction to the theory of sample.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -No detailed description available for 'An Introduction to Statistical Analysis of Random Arrays'. 700 pp. Englisch.
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Frontmatter -- CONTENTS -- List of basic notations and assumptions -- Preface and some historical remarks -- Chapter 1. Introduction to the theory of sample matrices of fixed dimension -- Chapter 2. Canonical equations -- Chapter 3. The First…Law for the eigenvalues and eigenvectors of random symmetric matrices -- Chapter 4. The Second Law for the singular values and eigenvectors of random matrices. Inequalities for the spectral radius of large random matrices -- Chapter 5. The Third Law for the eigenvalues and eigenvectors of empirical covariance matrices -- Chapter 6. The first proof of the Strong Circular Law -- Chapter 7. Strong Law for normalized spectral functions of nonselfadjoint random matrices with independent row vectors and simple rigorous proof of the Strong Circular Law -- Chapter 8. Rigorous proof of the Strong Elliptic Law -- Chapter 9. The Circular and Uniform Laws for eigenvalues of random nonsymmetric complex matrices with independent entries -- Chapter 10. Strong V-Law for eigenvalues of nonsymmetric random matrices -- Chapter 11. Convergence rate of the expected spectral functions of symmetric random matrices is equal to 0(n-1/2) -- Chapter 12. Convergence rate of expected spectral functions of the sample covariance matrix m'(n) is equal to 0(n-1/2) under the condition m'n-1 cDe Gruyter Mouton, Genthiner Straße 13, 10785 Berlin 700 pp. Englisch.
