Multidimensional Statistical Analysis and Theory of Random Matrices

ISBN 10: 9067642088 ISBN 13: 9789067642088

Editorial: Brill Academic Publishers, 1996

Idioma: Ingl�s

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pp. xii + 386.

N� de ref. del art�culo 263052477

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Detalles bibliogr�ficos

T�tulo: Multidimensional Statistical Analysis and Theory of Random Matrices
Editor: Brill Academic Publishers
Fecha de publicaci�n: 1996
Idioma: Ingl�s
ISBN 10: 9067642088
ISBN 13: 9789067642088
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

01/07 This title is now available from Walter de Gruyter. Please see www.degruyter.com for more information. 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.

Rese�a del editor

01/07 This title is now available from Walter de Gruyter. Please see www.degruyter.com for more information. 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.

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