Girko V L (104 results)

Condition: Very Good. First edition, first printing, 678 pp., Hardcover, some fading to spine and covers else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.…

Condition: Very Good. A few light scratches and slight shelf wear on cover. Also inscriptions on fep but content is fine.

Condition: New.

Condition: New. pp. 316.

Condition: New. An investigation of the limit distribution of the empirical generalized variance, covariance matrices, their eigenvalues and solutions of the system of linear algebraic equations with random coefficients, which are an important function of observations in multidimensional statistical analysis. Series: Theory and Decision Library B. Num Pages: 290 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 236 x 166 x 25. Weight in Grams: 576. . 1995. Hardback. . . . .…

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condition: New. pp. 308 1st Edition.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical Analysis of Observations of Increasing Dimension is devoted to the investigation of the limit distribution of the empirical generalized variance, covariance matrices, their eigenvalues and solutions of the system of linear algebraic equations with random coefficients, which are an important function of observations in multidimensional statistical analysis. A general statistical analysis is developed in which observed random vectors may not have density and their components have an arbitrary dependence structure. The methods of this theory have very important advantages in comparison with existing methods of statistical processing. The results have applications in nuclear and statistical physics, multivariate statistical analysis in the theory of the stability of solutions of stochastic differential equations, in control theory of linear stochastic systems, in linear stochastic programming, in the theory of experiment planning.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical Analysis of Observations of Increasing Dimension is devoted to the investigation of the limit distribution of the empirical generalized variance, covariance matrices, their eigenvalues and solutions of the system of linear algebraic equations with random coefficients, which are an important function of observations in multidimensional statistical analysis. A general statistical analysis is developed in which observed random vectors may not have density and their components have an arbitrary dependence structure. The methods of this theory have very important advantages in comparison with existing methods of statistical processing. The results have applications in nuclear and statistical physics, multivariate statistical analysis in the theory of the stability of solutions of stochastic differential equations, in control theory of linear stochastic systems, in linear stochastic programming, in the theory of experiment planning.…

Hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: New. pp. 708.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Et mm. . , si j'avait su comment en revenir, One service mathematics has rendered the je n'y serais point all':'' human race. It has put common sense back Jules Verne where it belongs, on the topmost shelf IIClI.t to the dusty canister labelled 'discarded non- The series is divergent; therefore we may be sense'. able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics . .'; 'One service logic has rendered com puter science . .'; 'One service category theory has rendered mathematics . .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1. Generalized Wishart Density and Integral Representation for Determinants.- 2. Moments of Random Matrix Determinants.- 3. Distribution of Eigenvalues and Eigenvectors of Random Matrices.- 4. Inequalities for Random Determinants.- 5. Limit Theorems for the Borel Functions of Independent Random Variables.- 6. Limit Theorems of the Law of Large Numbers and Central Limit Theorem Types for Random Determinants.- 7. Accompanying Infinitely Divisible Laws for Random Determinants.- 8. Integral Representation Method.- 9. The Connection between the Convergence of Random Determinants and the Convergence of Functionals of Random Functions.- 10. Limit Theorems for Random Gram Determinants.- 11. The Determinants of Toeplitz and Hankel Random Matrices.- 12. Limit Theorems for Determinants of Random Jacobi Matrices.- 13. The Fredholm Random Determinants.- 14. The Systems of Linear Algebraic Equations with Random Coefficients.- 15. Limit Theorems for the Solution of the Systems of Linear Algebraic Equations with Random Coefficients.- 16. Integral Equations with Random Degenerate Kernels.- 17. Random Determinants in the Spectral Theory of Non-Self-Adjoint Random Matrices.- 18. The Distribution of Eigenvalues and Eigenvectors of Additive Random Matrix-Valued Processes.- 19. The Stochastic Ljapunov Problem for Systems of Stationary Linear Differential Equations.- 20. Random Determinants in the Theory of Estimation of Parameters of Some Systems.- 21. Random Determinants in Some Problems of Control Theory of Stochastic Systems.- 22. Random Determinants in Some Linear Stochastic Programming Problems.- 23. Random Determinants in General Statistical Analysis.- 24. Estimate of the Solution of the Kolmogorov-Wiener Filter.- 25. Random Determinants in Pattern Recognition.- 26. Random Determinantsin the Experiment Design.- 27. Random Determinants in Physics.- 28. Random Determinants in Numerical Analysis.- References.…

Condition: New. pp. 708.

Condition: New. pp. xii + 386.

Paperback. Condition: Brand New. 708 pages. 9.25x6.10x1.60 inches. In Stock.

Condition: New. An investigation of the limit distribution of the empirical generalized variance, covariance matrices, their eigenvalues and solutions of the system of linear algebraic equations with random coefficients, which are an important function of observations in multidimensional statistical analysis. Series: Theory and Decision Library B. Num Pages: 290 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 236 x 166 x 25. Weight in Grams: 576. . 1995. Hardback. . . . . Books ship from the US and Ireland.…

Paperback. Condition: Brand New. 290 pages. 9.25x6.10x0.72 inches. In Stock.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 708 | Sprache: Englisch | Produktart: Bücher | 'Et mm. . , si j'avait su comment en revenir, One service mathematics has rendered the je n'y serais point all':'' human race. It has put common sense back Jules Verne where it belongs, on the topmost shelf IIClI.t to the dusty canister labelled 'discarded non- The series is divergent; therefore we may be sense'. able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non­ linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics . .'; 'One service logic has rendered com­ puter science . .'; 'One service category theory has rendered mathematics . .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.…

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hardcover. Condition: Brand New. 1990 edition. 708 pages. 9.50x6.50x1.75 inches. In Stock.

Condition: New. pp. xxvi + 673.

Condition: New. pp. xxvi + 673 Illus.

Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Condition: New. pp. xxvi + 673.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Theory of Stochastic Canonical Equations collects the major results of thirty years of the author's work in the creation of the theory of stochastic canonical equations. It is the first book to completely explore this theory and to provide the necessary tools for dealing with these equations. Included are limit phenomena of sequences of random matrices and the asymptotic properties of the eigenvalues of such matrices. The book is especially interesting since it gives readers a chance to study proofs written by the mathematician who discovered them. All fifty-nine canonical equations are derived and explored along with their applications in such diverse fields as probability and statistics, economics and finance, statistical physics, quantum mechanics, control theory, cryptography, and communications networks. Some of these equations were first published in Russian in 1988 in the book Spectral Theory of Random Matrices, published by Nauka Science, Moscow. An understanding of the structure of random eigenvalues and eigenvectors is central to random matrices and their applications. Random matrix analysis uses a broad spectrum of other parts of mathematics, linear algebra, geometry, analysis, statistical physics, combinatories, and so forth. In return, random matrix theory is one of the chief tools of modern statistics, to the extent that at times the interface between matrix analysis and statistics is notably blurred. Volume I of Theory of Stochastic Canonical Equations discusses the key canonical equations in advanced random matrix analysis. Volume II turns its attention to a broad discussion of some concrete examples of matrices. It contains in-depth discussion of modern, highly-specialized topics in matrix analysis, such as unitary random matrices and Jacoby random matrices. The book is intended for a variety of readers: students, engineers, statisticians, economists and others.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Theory of Stochastic Canonical Equations collects the major results of thirty years of the author's work in the creation of the theory of stochastic canonical equations. It is the first book to completely explore this theory and to provide the necessary tools for dealing with these equations. Included are limit phenomena of sequences of random matrices and the asymptotic properties of the eigenvalues of such matrices. The book is especially interesting since it gives readers a chance to study proofs written by the mathematician who discovered them. All fifty-nine canonical equations are derived and explored along with their applications in such diverse fields as probability and statistics, economics and finance, statistical physics, quantum mechanics, control theory, cryptography, and communications networks. Some of these equations were first published in Russian in 1988 in the book Spectral Theory of Random Matrices, published by Nauka Science, Moscow. An understanding of the structure of random eigenvalues and eigenvectors is central to random matrices and their applications. Random matrix analysis uses a broad spectrum of other parts of mathematics, linear algebra, geometry, analysis, statistical physics, combinatories, and so forth. In return, random matrix theory is one of the chief tools of modern statistics, to the extent that at times the interface between matrix analysis and statistics is notably blurred. Volume I of Theory of Stochastic Canonical Equations discusses the key canonical equations in advanced random matrix analysis. Volume II turns its attention to a broad discussion of some concrete examples of matrices. It contains in-depth discussion of modern, highly-specialized topics in matrix analysis, such as unitary random matrices and Jacoby random matrices. The book is intended for a variety of readers: students, engineers, statisticians, economists and others.…