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Recent developments in multivariate ...

Holgersson, Thomas.

Recent developments in multivariate and random matrix analysisFestschrift in honour of Dietrich von Rosen /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent developments in multivariate and random matrix analysisedited by Thomas Holgersson, Martin Singull.
Reminder of title:	Festschrift in honour of Dietrich von Rosen /
other author:	Holgersson, Thomas.
Published:	Cham :Springer International Publishing :2020.
Description:	xiii, 373 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Multivariate analysis.
Online resource:	https://doi.org/10.1007/978-3-030-56773-6
ISBN:	9783030567736$q(electronic bk.)

Recent developments in multivariate and random matrix analysisFestschrift in honour of Dietrich von Rosen /
Recent developments in multivariate and random matrix analysisFestschrift in honour of Dietrich von Rosen /[electronic resource] :edited by Thomas Holgersson, Martin Singull. - Cham :Springer International Publishing :2020. - xiii, 373 p. :ill., digital ;24 cm.

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.

ISBN: 9783030567736$q(electronic bk.)

Standard No.: 10.1007/978-3-030-56773-6doiSubjects--Topical Terms:

181905
Multivariate analysis.

LC Class. No.: QA278

Dewey Class. No.: 519.535

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520 $a 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.
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