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- 376 pages
- English
- PDF
- Available on iOS & Android
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About This Book
Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experiment
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Yes, you can access Design of Experiments by Max Morris in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Front cover
- Contents
- Preface
- CHAPTER 1: Introduction
- CHAPTER 2: Linear statistical models
- CHAPTER 2: Linear statistical models
- CHAPTER 3: Completely randomized designs
- CHAPTER 4: Randomized complete blocks and related designs
- CHAPTER 5: Latin squares and related designs
- CHAPTER 6: Some data analysis for CRDs andorthogonally blocked designs
- CHAPTER 7: Balanced incomplete block designs
- CHAPTER 8: Random block effects
- CHAPTER 9: Factorial treatment structure
- CHAPTER 10: Split-plot designs
- CHAPTER 11: Two-level factorial experiments:basics
- CHAPTER 12: Two-level factorial experiments: blocking
- CHAPTER 13:Two-level factorial experiments: fractional factorials
- CHAPTER 14: Factorial group screening experiments
- CHAPTER 15: Regression experiments: first-order polynomial models
- CHAPTER 16: Regression experiments: second-order polynomial models
- CHAPTER 17: Introduction to optimal design
- Appendix A: Calculations using R
- Appendix B: Solution notes for selected exercises
- References
- Index
- Back cover