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Process Quality Control: Troubleshooting and Interpretation of Data
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by
Ellis R Ott
In this revised edition of a highly successful guide to statistical quality control, over 80% of the contents have been updated or rewritten. The reader will find new information on the many advances that have taken place in numerical methods, automated process control, improved experiment design, and a new, easier way to handle analysis of means ...
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