JMP 11 Multivariate Methods

JMP 11 Multivariate Methods

Whether your model is deterministic, or involves necessary “noise” as well as a “signal,” JMP is equipped to handle your modeling needs. JMP 11 Multivariate Methods shows you how to take advantage of the modeling platforms Multivariate, Cluster, Discriminant, Principal Components, and Partia...

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Detalles Bibliográficos
Autor Corporativo: SAS Institute Content Provider (content provider)
Otros Autores: Institute, SAS, author (author), SAS Institute Contributor (contributor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] SAS Institute 2013
Edición:1st edition
Materias:
JMP (Computer file)
Information Technology > General and Others
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627868606719
Descripción
Sumario:Whether your model is deterministic, or involves necessary “noise” as well as a “signal,” JMP is equipped to handle your modeling needs. JMP 11 Multivariate Methods shows you how to take advantage of the modeling platforms Multivariate, Cluster, Discriminant, Principal Components, and Partial Least Squares.
Notas:Bibliographic Level Mode of Issuance: Monograph
Descripción Física:1 online resource (1 v.) : ill
ISBN:9781612906751

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