Applied statistics for engineers and scientists

Joseph D. Petruccelli · Balgobin Nandram · Ming‐Hui Chen

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Optimal Experimental Design Methods Statistical Methods and Applications Advanced Statistical Process Monitoring

Abstract

Preface. 1. Introduction to Data Analysis. 2. Summarizing Data. 3. Designing Studies and Obtaining Data. 4. An Introduction to Statistical Modeling. 5. Estimation and Prediction. 6. Hypothesis Tests. 7. The Relationship Between Two Variables. 8. Multiple Regression. 9. The One-Way Model. 10. The Factorial Model. 11. Distribution-Free Inference. 12. 2k Designs. 13. 2k-p Designs and their Role in Quality Improvement. 14. Response-Surface Methodology. 15. Statistical Process Control. Appendix A: Tables. Answers to Odd-Numbered Exercises. Index.

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