Synopses & Reviews
Designed for courses in Probability and Statistics and/or Random Processes, this book integrates a modern approach to statistical methods, computer technology, and recent pedagogical trends into an introductory curriculum for engineers and scientists. It reflects the most current topics and data available, including computer techniques, inference through bootstrapping, and process stability.
Table of Contents
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.