Design for Six Sigma Statistics, Chapter 9 - Detecting Changes in Nonnormal Data

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McGraw Hill Professional, Dec 5, 2005 - Business & Economics - 60 pages
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

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91 Detecting Changes Without Assuming a Distribution
92 Testing for Goodness of Fit
93 Normalizing Data with Transformations

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