A Primer on Experiments with Mixtures (Wiley Series in Probability and Statistics)
En stock
0.66 kg
No
Nuevo
Amazon
USA
- Designs and models for exploring the entire simplex factor space, with coverage of simplex-lattice and simplex-centroid designs, canonical polynomials, the plotting of individual residuals, and axial designs
- Multiple constraints on the component proportions in the form of lower and/or upper bounds, introducing L-Pseudocomponents, multicomponent constraints, and multiple lattice designs for major and minor component classifications
- Techniques for analyzing mixture data such as model reduction and screening components, as well as additional topics such as measuring the leverage of certain design points
- Models containing ratios of the components, Cox's mixture polynomials, and the fitting of a slack variable model
- A review of least squares and the analysis of variance for fitting data
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