JMP 14 multivariate methods

JMP 14 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal c...

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Detalles Bibliográficos
Autor principal: SAS Institute
Lenguaje:eng
Publicado: SAS Institute 2018
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2744768
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author SAS Institute
author_facet SAS Institute
author_sort SAS Institute
collection CERN
description JMP 14 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal components, discriminant analysis, and partial least squares.
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institution Organización Europea para la Investigación Nuclear
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publisher SAS Institute
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spelling cern-27447682021-04-21T16:44:56Zhttp://cds.cern.ch/record/2744768engSAS InstituteJMP 14 multivariate methodsXXJMP 14 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal components, discriminant analysis, and partial least squares.SAS Instituteoai:cds.cern.ch:27447682018
spellingShingle XX
SAS Institute
JMP 14 multivariate methods
title JMP 14 multivariate methods
title_full JMP 14 multivariate methods
title_fullStr JMP 14 multivariate methods
title_full_unstemmed JMP 14 multivariate methods
title_short JMP 14 multivariate methods
title_sort jmp 14 multivariate methods
topic XX
url http://cds.cern.ch/record/2744768
work_keys_str_mv AT sasinstitute jmp14multivariatemethods

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