Research Catalog
Statistics for experimenters : an introduction to design, data analysis, and model building
- Title
- Statistics for experimenters : an introduction to design, data analysis, and model building / George E.P. Box, William G. Hunter, J. Stuart Hunter.
- Author
- Box, George E. P.
- Publication
- New York, NY ; Chichester ; Brisbane ; Toronto : John Wiley & Sons
- ©1978.
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Details
- Additional Authors
- Description
- xviii, 653 pages : illustrations; 24 cm
- 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.
- Series Statement
- Wiley series in probability and mathematical statistics
- Uniform Title
- Wiley series in probability and mathematical statistics.
- Subject
- Experimental design
- Analysis of variance
- Statistics
- Analysis of Variance
- Research Design
- Statistics as Topic
- Models, Statistical
- statistics
- Statistique
- Expériences
- Statistics
- Analysis of variance
- Experimental design
- Analyse de variance
- Plan de recherche
- Entwurf
- Experiment
- Experimentauswertung
- Statistik
- Varianzanalyse
- Versuchsanlage
- Versuchsplanung
- Onderzoeksontwerp
- Variantieanalyse
- Plan d'expérience
- Statistique mathématique
- Note
- Includes index.
- Bibliography (note)
- Includes bibliographical references and index.
- 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.
- ISBN
- 0471093157
- 9780471093152
- 0471267309
- 9780471267300
- LCCN
- 77015087
- OCLC
- ocm03327353
- 3327353
- SCSB-44814
- Owning Institutions
- Princeton University Library