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JMP 14 predictive and specialized modeling

JMP 14 Predictive and Specialized Modeling provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. The book also covers the Re...

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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/2744763
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author SAS Institute
author_facet SAS Institute
author_sort SAS Institute
collection CERN
description JMP 14 Predictive and Specialized Modeling provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. The book also covers the Response Screening platform, which is useful in testing the effect of a predictor when you have many responses.
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spelling cern-27447632021-04-21T16:44:57Zhttp://cds.cern.ch/record/2744763engSAS InstituteJMP 14 predictive and specialized modelingXXJMP 14 Predictive and Specialized Modeling provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. The book also covers the Response Screening platform, which is useful in testing the effect of a predictor when you have many responses.SAS Instituteoai:cds.cern.ch:27447632018
spellingShingle XX
SAS Institute
JMP 14 predictive and specialized modeling
title JMP 14 predictive and specialized modeling
title_full JMP 14 predictive and specialized modeling
title_fullStr JMP 14 predictive and specialized modeling
title_full_unstemmed JMP 14 predictive and specialized modeling
title_short JMP 14 predictive and specialized modeling
title_sort jmp 14 predictive and specialized modeling
topic XX
url http://cds.cern.ch/record/2744763
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