Fundamentals of Predictive Analytics with JMP

Fundamentals of Predictive Analytics with JMP

With the new emphasis on business intelligence, business analytics and predictive analytics, Fundamentals of Predictive Analytics with JMP is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis.

Detalles Bibliográficos
Autor Corporativo: SAS Institute (-)
Otros Autores: Klimberg, Ron Author (author), McCullough, B. D Contributor (contributor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] SAS Institute 2013
Edición:1st edition
Materias:
JMP (Computer file)
Statistics > Graphic methods.
Mathematical statistics > Data processing.
Data mining.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628399706719
Tabla de Contenidos:
  • Introduction
  • Statistics review
  • Introduction to multivariate data
  • Regression and ANOVA review
  • Logistic regression
  • Principal components analysis
  • Cluster analysis
  • Decision trees
  • Neural networks
  • Model comparison
  • Telling the statistical story.

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