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Fundamentals of Predictive Analytics with JMP

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Klimberg, Ron, Author.
Contributor:
McCullough, B. D., Contributor.
SAS Institute.
Language:
English
Subjects (All):
JMP (Computer file).
Statistics--Graphic methods.
Statistics.
Mathematical statistics--Data processing.
Mathematical statistics.
Data mining.
Physical Description:
1 online resource (1 v.) : ill.
Edition:
1st edition
Place of Publication:
[Place of publication not identified] SAS Institute 2013
Language Note:
English
System Details:
text file
Summary:
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.
Contents:
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.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
ISBN:
9781612906232
1612906230
OCLC:
856523464

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