# 1978 StatisticsforExperimentersAnInt

- (Box et al., 1978) ⇒ George EP Box, William G Hunter, and J Stuart Hunter. (1978). “Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building." John Wiley & Sons. ISBN:0471093157

**Subject Headings:** Experimental Error, Experimental Design, Controlled Experiment, Fractional Factorial Design, ANOVA.

## Notes

## Cited By

## Quotes

### Table of Contents

Chapter 1. Science and Statistics

Part I. Comparing Two Treatments Chapter 2. Use of External Reference Distribution to Compare Two Means Chapter 3. Random Sampling and the Declaration of Independence Chapter 4. Randomization and Blocking with Paired Comparisons Chapter 5. Significance Tests and Confidence Intervals for Means, Variances, Proportions and Frequences. Part II. Comparing More Than Two Treatments. Chapter 6. Experiments to Compare k Treatment Means Chapter 7. Randomized Block and Two-Way Factorial Designs Chapter 8. Designs with More Than One Blocking Variable Part III. Measuring The Effects of Variables Chapter 9. Empirical Modeling Chapter 10. Factorial Designs at Two Levels Chapter 11. More Applications of Factorial Designs Chapter 12. Fractional Factorial Designs at Two Levels Chapter 13. More Applications of Fractional Factorial Designs Part IV. Building Models and Using Them. Chapter 14. Simple Modeling with Least Squares (Regression Analysis) Chapter 15. Response Surface Methods Chapter 16. Mechanistic Model Building Chapter 17. Study of Variation Chapter 18. Modeling Dependence: Times Series

### Chapter 1. Science and Statistics

#### 1.1 The Learning Process

Scientific research is a process of guided learning. The object of statistical methods is to make that process as efficient as possible.

Learning is advanced by the iteratin illustrated in Figure 1.1. An initial hypothesis leads by a process of *deduction* to certain necessary consequences that may be compared with data. When consequences and data fit to agree, the discrepancy can lead, by a process called *induction*, to modification of the hypothesis.

### Part I. Comparing Two Treatments.

### Chapter 2. Use of External Reference Distribution to Compare Two Means

### Chapter 3. Random Sampling and the Declaration of Independence

### Chapter 4. Randomization and Blocking with Paired Comparisons

### Chapter 5. Significance Tests and Confidence Intervals for Means, Variances, Proportions and Frequencies.

### Part II. Comparing More Than Two Treatments.

### Chapter 6. Experiments to Compare k Treatment Means

### Chapter 7. Randomized Block and Two-Way Factorial Designs

### Chapter 8. Designs with More Than One Blocking Variable.

### Part III. Measuring The Effects of Variables

### Chapter 9. Empirical Modeling

### Chapter 10. Factorial Designs at Two Levels

### Chapter 11. More Applications of Factorial Designs

### Chapter 12. Fractional Factorial Designs at Two Levels

### Chapter 13. More Applications of Fractional Factorial Designs

### Part IV. Building Models and Using Them.

### Chapter 14. Simple Modeling with Least Squares (Regression Analysis)

### Chapter 15. Response Surface Methods

### Chapter 16. Mechanistic Model Building

### Chapter 17. Study of Variation

### Chapter 18. Modeling Dependence: Times Series

## References

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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
---|---|---|---|---|---|---|---|---|---|---|

1978 StatisticsforExperimentersAnInt | George E. P. Box William G Hunter J Stuart Hunter | Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building | 1978 |

Facts about "1978 StatisticsforExperimentersAnInt"

Author | George EP Box +, William G Hunter + and J Stuart Hunter + |

title | Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building + |

year | 1978 + |