Recent Developments in Multivariate and Random Matrix Analysis

Recent Developments in Multivariate and Random Matrix Analysis
Author: Thomas Holgersson
Publisher: Springer Nature
Total Pages: 377
Release: 2020-09-17
Genre: Mathematics
ISBN: 3030567737

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This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis, goodness-of-fit measures, variable selection and information criteria, inference of covariance structures, the Wishart distribution and growth curve models.


Recent Developments in Multivariate and Random Matrix Analysis
Language: en
Pages: 377
Authors: Thomas Holgersson
Categories: Mathematics
Type: BOOK - Published: 2020-09-17 - Publisher: Springer Nature

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This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents
Random Matrix Theory And Its Applications: Multivariate Statistics And Wireless Communications
Language: en
Pages: 176
Authors: Zhidong Bai
Categories: Mathematics
Type: BOOK - Published: 2009-07-27 - Publisher: World Scientific

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Random matrix theory has a long history, beginning in the first instance in multivariate statistics. It was used by Wigner to supply explanations for the import
Matrix Variate Distributions
Language: en
Pages: 382
Authors: A K Gupta
Categories: Mathematics
Type: BOOK - Published: 2018-05-02 - Publisher: CRC Press

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Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical methods. Until now,
High-Dimensional Covariance Matrix Estimation
Language: en
Pages: 123
Authors: Aygul Zagidullina
Categories: Business & Economics
Type: BOOK - Published: 2021-10-29 - Publisher: Springer Nature

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This book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix estimator and provides a
Principles of Multivariate Analysis
Language: en
Pages: 594
Authors: W. J. Krzanowski
Categories: Language Arts & Disciplines
Type: BOOK - Published: 1988 - Publisher: Oxford University Press, USA

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An introduction to the principles and methodology of modern multivariate statistical analysis, covering recent developments and stressing geometrical intuition