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Multivariate statistics: high-dimensional and large-sample approximations
A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Wiley
2010
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Acceso en línea: | http://cds.cern.ch/record/1271099 |
_version_ | 1780920213199388672 |
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author | Fujikoshi, Yasunori Ulyanov, Vladimir Shimizu, Ryoichi |
author_facet | Fujikoshi, Yasunori Ulyanov, Vladimir Shimizu, Ryoichi |
author_sort | Fujikoshi, Yasunori |
collection | CERN |
description | A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic |
id | cern-1271099 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2010 |
publisher | Wiley |
record_format | invenio |
spelling | cern-12710992021-04-22T01:17:25Zhttp://cds.cern.ch/record/1271099engFujikoshi, YasunoriUlyanov, VladimirShimizu, RyoichiMultivariate statistics: high-dimensional and large-sample approximationsGeneral Theoretical PhysicsA comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic Wileyoai:cds.cern.ch:12710992010 |
spellingShingle | General Theoretical Physics Fujikoshi, Yasunori Ulyanov, Vladimir Shimizu, Ryoichi Multivariate statistics: high-dimensional and large-sample approximations |
title | Multivariate statistics: high-dimensional and large-sample approximations |
title_full | Multivariate statistics: high-dimensional and large-sample approximations |
title_fullStr | Multivariate statistics: high-dimensional and large-sample approximations |
title_full_unstemmed | Multivariate statistics: high-dimensional and large-sample approximations |
title_short | Multivariate statistics: high-dimensional and large-sample approximations |
title_sort | multivariate statistics: high-dimensional and large-sample approximations |
topic | General Theoretical Physics |
url | http://cds.cern.ch/record/1271099 |
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