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- W2001918775 abstract "Basic Probability and Statistics Introduction Probability Sampling Estimation Hypothesis Testing Summary Linear Regression Analysis Introduction Linear Regression Analysis Interpreting Results Applying Simple Linear Regression Polynomial and Multiple Regression Summary Variance Components and Process Sampling Design Introduction Variance Structures Estimating Nested Variance Components Process Sampling Design Summary Measurement Capability Introduction The Costs of Flawed Measurement Measurement Capability Defined Assessing and Improving Measurement Capability Purchasing and Qualifying Equipment Overcoming Difficult Measurement Problems Summary Introduction to Statistical Process Control Introduction Fundamental Principles of SPC Essential Components of SPC Example Process Control System Benefits and Costs of SPC Statistical Process Control Implementation Introduction Select Key Process Parameters Design a Data Collection System and Collect Data Select Summary Measures and Control Charts Assess Process stability and Capability Develop the Five Working Parts Maintain and Improve the System Disposition Limits Summary Technical Notes Answers to Problems References SAS Appendix" @default.
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- W2001918775 date "1998-05-01" @default.
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- W2001918775 title "Statistical Methods for Industrial Process Control" @default.
- W2001918775 doi "https://doi.org/10.2307/1270649" @default.
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