Design for Six Sigma Statistics, Chapter 4 - Estimating Population Properties

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McGraw Hill Professional, Dec 5, 2005 - Business & Economics - 118 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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Contents

41 Communicating Estimation
146
42 Selecting Appropriate Distribution Models
156
43 Estimating Properties of a Normal Population
158
44 Estimating Properties of Failure Time Distributions
216
45 Estimating the Probability of Defective Units by the Binomial Probability 960
238
46 Estimating the Rate of Defects by the Poisson Rate Parameter 955
248
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