The DOI matches its Crossref record.
Response Surfaces, Mixtures, and Ridge Analyses
Abstract
Preface to the Second Edition. Chapter 1. Introduction to response Surface Methodology. Chapter 2. The Use of Graduating Functions. Chapter 3. Least Squares for Response Surface Work. Chapter 4. Factorial Designs at Two Levels. Chapter 5. Blocking and Fractionating 2k Factorial Designs. Chapter 6. The Use of Steepest Ascent to Achieve Process Improvement. Chapter 7. Fitting Second-Order Models. Chapter 8. Adequacy of Estimation and the Use of Transformation. Chapter 9. Exploration of Maxima and Ridge Systems with Second-Oder Response Surfaces. Chapter 10. Occurrence and Elucidation of Ridge Systems, I. Chapter 11. Occurrence and Elucidation of Ridge Systems, II. Chapter 12. Ridge Analysis for Examining Second-Order Fitted Models, Unrestricted Case. Chapter 13. Design Aspects of Variance, Bias, and Lack of Fit. Chapter 14. Variance-Optimal Designs. Chapter 15. Practical Choice of a Response Surface Design. Chapter 16. Response Surfaces for Mixture Ingredients. Chapter 17. Mixture Experiments in Restricted Regions. Chapter 18. Other Mixture Methods and Topics. Chapter 19. Ridge Analysis for Examining Second-Order Fitted Models when there Are Linear Restrictions on the Experimental region. Chapter 20. Canonical Reduction of Second-Order Fitted Models Subject to Linear Restrictions. Answers to Exercises. Tables. Bibliography. Author Index. Subject Index.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Khuri, A. I., & Mukhopadhyay, S. (2010) · WIREs Computational Statistics · doi:10.1002/wics.73 · Cited by 2,113
Wirsching, S., Marian, M., Bartz, M., Stahl, T., & Wartzack, S. (2021) · Lubricants · doi:10.3390/lubricants9070067 · Cited by 25
Mylona, K., Gilmour, S. G., & Goos, P. (2020) · Technometrics · doi:10.1080/00401706.2019.1595153 · Cited by 13
Split-Plot and Multi-Stratum Designs for Statistical Inference
Trinca, L. A., & Gilmour, S. G. (2017) · Technometrics · doi:10.1080/00401706.2017.1316315 · Cited by 12
Testing for Lack of Fit in Blocked, Split-Plot, and Other Multi-Stratum Designs
Goos, P., & Gilmour, S. G. (2017) · Journal of Quality Technology · doi:10.1080/00224065.2017.11918000 · Cited by 9
Metadata
- Authors
- Box, G. E. P., & Draper, N. R.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 2006-04-10
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W566632165
- Cited by
- 618
- References
- 0
- FWCI
- 7.58
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Response Surfaces, Mixtures, and Ridge Analyses. https://app.cochat.ai/papers/10.1002/0470072768
- The paper
- Box, G. E. P., & Draper, N. R. (2007). Response Surfaces, Mixtures, and Ridge Analyses. Wiley Series in Probability and Statistics. https://doi.org/10.1002/0470072768
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.