Statistics for experimenters :

By: Box, George E. PContributor(s): Hunter, William Gordon | Hunter, J. StuartMaterial type: TextTextSeries: Wiley series in probability and mathematical statisticsPublication details: New York : Wiley, c1978Description: xviii, 653 p. : illustrationsISBN: 0471093157; 9780471093152Subject(s): Experimental design | Analysis of varianceDDC classification: 001.4225 Online resources: Click here to access online | Click here to access online | Click here to access online
Contents:
1. Science and statistics -- Part I: Comparing two treatments -- 2. Use of external reference distribution to compare two means -- 3. Random sampling and the Declaration of Independence -- 4. Randomization and blocking with paired comparisons -- 5. Significance tests and confidence intervals for means, variances, proportions, and frequencies -- Part II: Comparing more than two treatments -- 6. Experiments to compare k treatment means -- 7. Randomized blocks and two-way factorial designs -- 8. Design with more than one blocking variables -- Part III: Measuring the effects of variables -- 9. Empirical modeling -- 10. Factorial designs at two levels -- 11. More applications of factorial designs -- 12. Fractional factorial designs at two levels -- 13. More applications of fractional factorial designs -- Part IV: Building models and using them -- 14. Simple modeling with least squares (regression analysis -- 15. Response surface methods -- 16. Mechanistic model building -- 17. Study of variation -- 18. Modeling dependence: time series.
Summary: Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for "statistical thinking" by using examples drawn from actual case studies.
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Author, Subject Index.

1. Science and statistics --
Part I: Comparing two treatments --
2. Use of external reference distribution to compare two means --
3. Random sampling and the Declaration of Independence --
4. Randomization and blocking with paired comparisons --
5. Significance tests and confidence intervals for means, variances, proportions, and frequencies --
Part II: Comparing more than two treatments --
6. Experiments to compare k treatment means --
7. Randomized blocks and two-way factorial designs --
8. Design with more than one blocking variables --
Part III: Measuring the effects of variables --
9. Empirical modeling --
10. Factorial designs at two levels --
11. More applications of factorial designs --
12. Fractional factorial designs at two levels --
13. More applications of fractional factorial designs --
Part IV: Building models and using them --
14. Simple modeling with least squares (regression analysis --
15. Response surface methods --
16. Mechanistic model building --
17. Study of variation --
18. Modeling dependence: time series.

Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for "statistical thinking" by using examples drawn from actual case studies.

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