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Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data.
Abstract
Preface to the Third Edition. Preface to the Second Edition. Introduction. The Original Mixture Problem: Designs and Models for Exploring the Entire Simplex Factor Space. The Use of Independent Variables. Multiple Constraints on the Component Proportions. The Analysis of Mixture Data. Other Mixture Model Forms. The Inclusion of Process Variables in Mixture Experiments. Additional Topics. Matrix Algebra, Least Squares, and the Analysis of Variance. Data Sets from Mixture Experiments with Partial Solutions. Bibliography and Index of Authors. Answers to Selected Questions. Appendix. Index.
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Citations
Cited by
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Piepel, G. F. (1988) · Technometrics · doi:10.1080/00401706.1988.10488337 · Cited by 3,418
Statistical designs and response surface techniques for the optimization of chromatographic systems
Ferreira, S. L. C., Bruns, R. E., da Silva, E. G. P., dos Santos, W. N. L., Quintella, C. M., David, J. M., de Andrade, J. B., Breitkreitz, M. C., Jardim, I. C. S. F., & Neto, B. B. (2007) · Journal of Chromatography A · doi:10.1016/j.chroma.2007.03.051 · Cited by 616
The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies
Vaginal Microbiome Consortium (additional members), Brooks, J. P., Edwards, D. J., Harwich, M. D., Rivera, M. C., Fettweis, J. M., Serrano, M. G., Reris, R. A., Sheth, N. U., Huang, B., et al. (2015) · BMC Microbiology · doi:10.1186/s12866-015-0351-6 · Cited by 528
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling
Cheng, R., Jin, Y., Narukawa, K., & Sendhoff, B. (2015) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2015.2395073 · Cited by 377
Santana, A. P. R., Andrade, D. F., Guimarães, T. G. S., Amaral, C. D. B., Oliveira, A., & Gonzalez, M. H. (2020) · Talanta · doi:10.1016/j.talanta.2020.120956 · Cited by 69
Metadata
- Authors
- Larntz, K., & Cornell, J. A.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1984-03
- Volume
- 79
- Issue
- 385
- Pages
- 232
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W1983118771
- Cited by
- 909
- References
- 0
- FWCI
- 5.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Larntz, K., & Cornell, J. A. (1984). Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data. Journal of the American Statistical Association. https://doi.org/10.2307/2288370
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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.
