Description: 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. PROCEEDS BENEFIT OUR LOCAL LIBRARY PROGRAMS - THANK YOU! Please visit our store for more titles. https://www.ebay.com/usr/friendsofthepaloaltolibrary
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Item Length: 9.4 in
Item Width: 6.3 in
Author: Vyacheslav L. Girko
Publication Name: Statistical Analysis of Observations of Increasing Dimension
Format: Hardcover
Language: English
Subject: Algebra / Linear, Probability & Statistics / General, Probability & Statistics / Multivariate Analysis
Publisher: Springer Netherlands
Series: Theory and Decision Library B Ser.
Publication Year: 1995
Type: Textbook
Subject Area: Mathematics
Item Weight: 48.3 Oz
Number of Pages: Xxi, 290 Pages
