Multivariate Statistical Methods in Quality ManagementPublisher'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: |
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... dimensional variation of other locations . By looking at dimensional measurement raw data , you will find that there will be piece - to - piece variation at each measurement point . If there are 50 measurement locations , the raw ...
... dimensional variation of products . μ ; = E ( X ; ) is the mean deviation at ith measuring point , and σ ? = Var ( X ; ) can be used to measure the piece - to- piece variation at the ith measuring point . We can define L = { μ ? + ₤ o ...
... variation at the upper hinge area is greatly reduced and production quality is enhanced . Summary . In this case study , the features of dimensional quality meas- urement and analysis have been presented with practical examples . The ...
Contents
Multivariate Statistical Methods and Quality | 1 |
Graphical Multivariate Data Display and Data Stratification | 2 |
Multivariate Analysis of Variance | 81 |
Copyright | |
17 other sections not shown
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Multivariate Statistical Methods in Quality Management Kai Yang,Jayant Trewn No preview available - 2004 |