| Multivariate Statistical Methods in Quality Management Contributor(s): Yang, Kai (Author), Trewn, Jayant (Author) |
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ISBN: 0071432086 ISBN-13: 9780071432085 Publisher: McGraw-Hill Companies OUR PRICE: $170.05 Product Type: Hardcover - Other Formats Published: March 2004 Annotation: UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLS There's no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems -- "Multivariate Statistical Methods in Quality Management" teaches powerful analytic tools for troubleshooting, root cause analysis, process control, quality improvement, and many other applications. Written by statistics experts who specialize in reliability and quality engineering, this unique resource introduces the fundamentals and then demonstrates how to: |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Engineering (general) - Business & Economics | Quality Control - Technology & Engineering | Radar |
| Dewey: 658.562 |
| LCCN: 2003066522 |
| Physical Information: 1.06" H x 6.38" W x 9.22" (1.27 lbs) 299 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLS There's no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems -- Multivariate Statistical Methods in Quality Management teaches powerful analytic tools for troubleshooting, root cause analysis, process control, quality improvement, and many other applications. Written by statistics experts who specialize in reliability and quality engineering, this unique resource introduces the fundamentals and then demonstrates how to: *Choose the best method for each data set* Make complex data intelligible with graphical tools * Coax important hidden information from data with graphical 3-D software and numerical multivariate data stratification * Perform data reduction with principal component analysis, factor analysis, and discriminant analysis * Apply multivariate methods in Six Sigma enterprises * Get clarification from case studies, models, and 50 illustrations * Uncover the source of problems and pinpoint solutions in arenas from manufacturing processes to sales performance and beyond |
Contributor Bio(s): Trewn, Jayant: - McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwideYang, Kai: - Kai Yang, Ph.D., has consulted extensively in many areas of quality and reliability engineering. He is Associate Professor of Industrial and Manufacturing Engineering at Wayne State University, Detroit, Michigan. He lives in West Bloomfield, Michigan. Jayant Trewn, Ph.D., is a research faculty member at Beaumont Hospital in Royal Oak, Michigan. He is responsible for implementing cutting edge industrial engineering tools in hospital and health care management. Dr. Trewn was a Director of Quality and Productivity Improvement at Vetri Systems, a Lason Company. He was responsible for business process design and improvement in the global business environment. |