Fundamentals of predictive analytics with JMP / Ron Klimberg and B.D. McCullough.

Cary, NC : SAS Institute, 2013.

1 online resource (xvi, 274 pages) : illustrations

Access is available to the Yale community.

Access restricted by licensing agreement.

"Fundamentals of Predictive Analytics with JMP" bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining/predictive analytics. It provides the technical knowledge and problem-solving skills needed to perform real data multivariate analysis. Utilizing JMP 10 and JMP Pro, the book offers new and enhanced resources, including an add-in to Microsoft Excel, Graph Builder, and data mining capabilities. Written for students in undergraduate and graduate-level statistics courses, this book first teaches students to recognize when it is appropriate to use the tool, to understand what variables and data are required, and to know what the results might be. Second, it teaches them how to interpret the results, followed by step-by-step instructions on how and where to perform and evaluate the analysis in JMP. With the new emphasis on business intelligence, business analytics and predictive analytics, this book is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis.

O'Reilly Safari. OCLC KB.

Print version: Klimberg, Ron. Fundamentals of predictive analytics with JMP / Ron Klimberg and B.D. McCullough. Cary, NC : SAS Institute, 2013

Books / Online

English

January 10, 2020

Includes bibliographical references and index.