Introduction to Statistical Analysis of Random Arrays
By V.L. Girko
$503.00 Paper Original
Contents include: Introduction to the Theory of Sample Matrices of Fixed Dimension; Canonical Equations; First Law for the Eigenvalues and Eigenvectors of Random Symmertic Matrices; The Second Law for the Singular Values and Eigenvectors of Random Matrices; The Third Law for the Eigenvalues and Eigenvectors of Empirical Covariance Matrices; The First Proof of the Strong Circular Law; Strong Law for Normalized Spectral Functions of Nonselfadjoint Random Matrices With Independent Row Vectors and Simple Rigorous Proof of the Strong Circular Law; seven other chapters.
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