| Discovering Partial Least Squares with JMP Contributor(s): Cox, Ian (Author), Gaudard, Marie (Author) |
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ISBN: 1612908225 ISBN-13: 9781612908229 Publisher: SAS Institute OUR PRICE: $61.70 Product Type: Paperback - Other Formats Published: October 2013 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - Multivariate Analysis - Computers | Mathematical & Statistical Software - Computers | Programming - General |
| LCCN: 2014412521 |
| Physical Information: 0.65" H x 7.5" W x 9.25" (1.18 lbs) 308 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores Partial Least Squares and positions it within the more general context of multivariate analysis. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey. |
Contributor Bio(s): Gaudard, Marie: - Marie Gaudard is a consultant in the North Haven Group, a small consulting firm specializing in statistical training and consulting using JMP. She earned her Ph.D. in statistics in 1977 and was a Professor of Statistics at the University of New Hampshire from 1977 until 2004. She has been heavily involved in statistical consulting since 1981. Gaudard has worked with a variety of clients in transactional areas, including government agencies and financial departments, as well as with manufacturers, including automotive, printing, paper, plastics, precision steel, and paving, as well as shipyards. She has also been involved in the analysis of medical data. Gaudard has extensive experience in providing consulting and training courses for business and industry in the areas of Six Sigma, Design for Six Sigma, forecasting and demand planning, and data mining.Cox, Ian: - Ian Cox currently works in the JMP Division of SAS. Before joining SAS in 1999, he worked for Digital, Motorola, and BBN Software Solutions Ltd. and has been a consultant for many companies on data analysis, process control, and experimental design. A Six Sigma Black Belt, he was a Visiting Fellow at Cranfield University and is a Fellow of the Royal Statistical Society in the United Kingdom. Cox holds a Ph.D. in theoretical physics. |