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V. L. Girko - Statistical Analysis of Observations of Increasing Dimension - 9780792328865 - V9780792328865
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Statistical Analysis of Observations of Increasing Dimension

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Description for Statistical Analysis of Observations of Increasing Dimension Hardback. 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.
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 ... Read more

Product Details

Format
Hardback
Publication date
1995
Publisher
Kluwer Academic Publishers United States
Number of pages
290
Condition
New
Series
Theory and Decision Library B
Number of Pages
290
Place of Publication
Dordrecht, Netherlands
ISBN
9780792328865
SKU
V9780792328865
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About V. L. Girko
Vyacheslav L. Girko is Professor of Mathematics in the Department of Applied Statistics at the National University of Kiev and the University of Kiev Mohyla Academy. He is also affiliated with the Institute of Mathematics, Ukrainian Academy of Sciences. His research interests include multivariate statistical analysis, discriminant analysis, experiment planning, identification and control of complex systems, statistical methods in physics, ... Read more

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