Can I read Multivariate Statistical Analysis - A High-Dimensional Approach (Theory and Decision Library B: Mathematical and Statistical Methods Volume 41) (Theory and Decision Library B) on EtoBox?

Multivariate Statistical Analysis - A High-Dimensional Approach (Theory and Decision Library B: Mathematical and Statistical Methods Volume 41) (Theory and Decision Library B) by V.I. Serdobolskii is a nonfiction available to read on EtoBox.

What is Multivariate Statistical Analysis - A High-Dimensional Approach (Theory and Decision Library B: Mathematical and Statistical Methods Volume 41) (Theory and Decision Library B) about?

In the last few decades the accumulation of large amounts of in formation in numerous applications. has stimtllated an increased in terest in multivariate analysis. Computer technologies allow one to use multi-dimensional and multi-parametric models successfully. At the same time, an interest arose in statistical analysis with a de ficiency of sample data. Nevertheless, it is difficult to describe the recent state of affairs in applied multivariate methods as satisfactory. Unimprovable (dominating) statistical procedures are still unknown except for a few specific cases. The simplest problem of estimat ing the mean vector with minimum quadratic risk is unsolved, even for normal distributions. Commonly used standard linear multivari ate procedures based on the inversion of sample covariance matrices can lead to unstable results or provide no solution in dependence of data. Programs included in standard statistical packages cannot process 'multi-collinear data' and there are no theoretical recommen dations except to ignore a part of the data. The probability of data degeneration increases with the dimension n, and for n > N, where N is the sample size, the sample covariance matrix ha

Who reads Multivariate Statistical Analysis - A High-Dimensional Approach (Theory and Decision Library B: Mathematical and Statistical Methods Volume 41) (Theory and Decision Library B)?

Author

V.I. Serdobolskii

Publisher

Springer Science & Business Media

Published

2000

Language

EN

ISBN

9780792366430

Category

nonfiction

Subjects

Science, Medical, Computer Science