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An Introduction to Statistical Analysis of Random Arrays (Hardcover, Reprint 2018)
Loot Price: R13,874
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An Introduction to Statistical Analysis of Random Arrays (Hardcover, Reprint 2018)
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This book contains the results of 30 years of investigation by the
author into the creation of a new theory on statistical analysis of
observations, based on the principle of random arrays of random
vectors and matrices of increasing dimensions. It describes limit
phenomena of sequences of random observations, which occupy a
central place in the theory of random matrices. This is the first
book to explore statistical analysis of random arrays and provides
the necessary tools for such analysis. This book is a natural
generalization of multidimensional statistical analysis and aims to
provide its readers with new, improved estimators of this analysis.
The book consists of 14 chapters and opens with the theory of
sample random matrices of fixed dimension, which allows to envelop
not only the problems of multidimensional statistical analysis, but
also some important problems of mechanics, physics and economics.
The second chapter deals with all 50 known canonical equations of
the new statistical analysis, which form the basis for finding new
and improved statistical estimators. Chapters 3-5 contain detailed
proof of the three main laws on the theory of sample random
matrices. In chapters 6-10 detailed, strong proofs of the Circular
and Elliptic Laws and their generalization are given. In chapters
11-13 the convergence rates of spectral functions are given for the
practical application of new estimators and important questions on
random matrix physics are considered. The final chapter contains 54
new statistical estimators, which generalize the main estimators of
statistical analysis.
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