An Introduction to Statistical Analysis of Random Arrays
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Published By De Gruyter

9783110916683

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Chapter 8. Rigorous proof of the Strong Elliptic Law

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-010 ◽

1998 ◽

pp. 369-404

Keyword(s):

Rigorous Proof

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Index

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-018 ◽

1998 ◽

pp. 669-674

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Chapter 10. Strong V-Law for eigenvalues of nonsymmetric random matrices

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-012 ◽

1998 ◽

pp. 435-452

Keyword(s):

Random Matrices

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Chapter 9. The Circular and Uniform Laws for eigenvalues of random nonsymmetric complex matrices with independent entries

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-011 ◽

1998 ◽

pp. 405-434

Keyword(s):

Complex Matrices

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Chapter 13. The First Spacing Law for random symmetric matrices

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-015 ◽

1998 ◽

pp. 535-552

Keyword(s):

Symmetric Matrices

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Chapter 6. The first proof of the Strong Circular Law

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-008 ◽

1998 ◽

pp. 325-348

Keyword(s):

Circular Law

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List of basic notations and assumptions

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-001 ◽

1998 ◽

pp. XVII-XIX

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An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-toc ◽

1998 ◽

pp. V-XVI

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Chapter 3. The First Law for the eigenvalues and eigenvectors of random symmetric matrices

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-005 ◽

1998 ◽

pp. 139-200

Keyword(s):

Symmetric Matrices ◽

Eigenvalues And Eigenvectors

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Preface and some historical remarks

An Introduction to Statistical Analysis of Random Arrays ◽

10.1515/9783110916683-002 ◽

1998 ◽

pp. XX-XXVI

Keyword(s):

Historical Remarks

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An Introduction to Statistical Analysis of Random Arrays
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By De Gruyter

Chapter 8. Rigorous proof of the Strong Elliptic Law

Index

Chapter 10. Strong V-Law for eigenvalues of nonsymmetric random matrices

Chapter 9. The Circular and Uniform Laws for eigenvalues of random nonsymmetric complex matrices with independent entries

Chapter 13. The First Spacing Law for random symmetric matrices

Chapter 6. The first proof of the Strong Circular Law

List of basic notations and assumptions

CONTENTS

Chapter 3. The First Law for the eigenvalues and eigenvectors of random symmetric matrices

Preface and some historical remarks

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An Introduction to Statistical Analysis of Random ArraysLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By De Gruyter

Chapter 8. Rigorous proof of the Strong Elliptic Law

Index

Chapter 10. Strong V-Law for eigenvalues of nonsymmetric random matrices

Chapter 9. The Circular and Uniform Laws for eigenvalues of random nonsymmetric complex matrices with independent entries

Chapter 13. The First Spacing Law for random symmetric matrices

Chapter 6. The first proof of the Strong Circular Law

List of basic notations and assumptions

CONTENTS

Chapter 3. The First Law for the eigenvalues and eigenvectors of random symmetric matrices

Preface and some historical remarks

An Introduction to Statistical Analysis of Random Arrays
Latest Publications