Design and analysis of experiments
This book describes the methods and techniques used in the design and analysis of experiments. It emphasizes the connection between the experiment and the model that the experimenter can develop from the results of the experiment and features a new chapter on experiments with random factors.
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| Format: | Book |
| Language: | English |
| Published: |
New York
John Wiley & Sons
1996
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| Edition: | 4th ed. |
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Table of Contents:
- Ch. 1. Introduction
- Ch. 2. Simple Comparative Experiments
- Ch. 3. Experiments with a Single Factor: The Analysis of Variance
- Ch. 4. More About Single-Factor Experiments
- Ch. 5. Randomized Blocks, Latin Squares, and Related Designs
- Ch. 6. Introduction to Factorial Designs
- Ch. 7. The 2[superscript k] Factorial Design
- Ch. 8. Blocking and Confounding in the 2[superscript k] Factorial Design
- Ch. 9. Two-Level Fractional Factorial Designs
- Ch. 10. Three-Level and Mixed-Level Factorial and Fractional Factorial Designs
- Ch. 11. Factorial Experiments with Random Factors
- Ch. 12. Nested and Split-Plot Designs
- Ch. 13. Fitting Regression Models
- Ch. 14. Response Surface Methods and Other Approaches to Process Optimization
- Table I. Cumulative Standard Normal Distribution
- Table II. Percentage Points of the t Distribution
- Table III. Percentage Points of the X[subscript 2] Distribution
- Table IV. Percentage Points of the F Distribution.