BOOK
Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data
This comprehensive reference provides in-depth coverage of the theory and practical application of mixture experiment designs. John Cornell presents detailed strategies for constructing mixture designs (such as simplex-lattice and centroid), modeling response surfaces using Scheffé polynomials, and analyzing results with tools like ANOVA, residual analysis, and leverage diagnostics. The third edition expands on earlier editions by including modern topics such as mixture-of-mixtures, process variables, constrained regions, multiple-response optimization, and biplots. Rich in industrial and scientific examples, this book is essential for statisticians, engineers, and researchers working with formulation and blending problems in the physical, chemical, and biological sciences.
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