The DOI matches its Crossref record.
Response Surfaces: Designs and Analysis.
Abstract
Introduction to response surface methodology matrix algebra, least squares, the analysis of variance, and principles of experimental design first-order models and designs second-order models and designs determining optimum conditions methods of estimating response surfaces that rival least squares based on the integrated mean squared error criterion analysis of multiresponse experiments response surface models with block effects mixture designs and analyses nonlinear response surface models Taguchi's robust parameter design additional topics and some directions for future research. Appendix: solutions to selected exercises.
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Cited by
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Foley, J. M. (1994) · Journal of the Optical Society of America A · doi:10.1364/josaa.11.001710 · Cited by 573
Gelatin from cod skins as affected by chemical treatments
GUDMUNDSSON, M., & HAFSTEINSSON, H. (1997) · Journal of Food Science · doi:10.1111/j.1365-2621.1997.tb04363.x · Cited by 296
Metadata
- Authors
- Deaton, M. L., Khuri, A. I., & Cornell, J. A.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1989-03
- Volume
- 84
- Issue
- 405
- Pages
- 332
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2583812316
- Cited by
- 242
- References
- 0
- FWCI
- 3.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Response Surfaces: Designs and Analysis. https://app.cochat.ai/papers/10.2307/2289884
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- Deaton, M. L., Khuri, A. I., & Cornell, J. A. (1989). Response Surfaces: Designs and Analysis. Journal of the American Statistical Association. https://doi.org/10.2307/2289884
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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.
