Multidimensional Statistical Analysis and Theory of Random Matrices

Download or read book Multidimensional Statistical Analysis and Theory of Random Matrices written by A. K. Gupta and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-01-14 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers from the Sixth Eugene Lukacs Symposium on ''Multidimensional Statistical Analysis and Random Matrices'', which was held at the Bowling Green State University, Ohio, USA, 29--30 March 1996. Multidimensional statistical analysis and random matrices have been the topics of great research. The papers presented in this volume discuss many varied aspects of this all-encompassing topic. In particular, topics covered include generalized statistical analysis, elliptically contoured distribution, covariance structure analysis, metric scaling, detection of outliers, density approximation, and circulant and band random matrices.