Fundamentals of Predictive Analytics With JMP. Este artículo no está disponible.Fundamentals of Predictive Analytics With JMP

Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and course on data mining/predictive analytics. This book provides the technical knowledge and problem-solving skills needed to perform real data multivariate analysis. Utilizing JMP 12 and JMP Pro, this 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 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.

Ron Klimberg is professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA. Before joining the faculty in 1997, he was professor at Boston University, an operations research analyst for the Food and Drug Administration, and a consultant. Klimberg was the 2007 recipient of the Tengelmann Award for his excellence in scholarship, teaching, and research. He received his PhD from The Johns Hopkins University and his MS from George Washington University.

B.D. McCullough is professor at the LeBow College of Business at Drexel University in Philadelphia, PA. Prior to joining Drexel, he was a senior economist at the Federal Communications Commission and an assistant professor at Fordham University. His research fields include applied econometrics and time series, accuracy of statistical and econometrics software, replicability of research, and data mining. He received his PhD from the University of Texas at Austin.