Showing 1 - 8 of 8
In a mixture experiment the measured response is assumed to depend only on the relative proportion of ingredients or components present in the mixture. Scheffe [1958. Experiments with mixtures. Journal of Royal Statistical Society B 20, pp. 344-360; 1963. Simplex-centroid design for experiments...
Persistent link: https://www.econbiz.de/10005223632
In the analysis of experiments with mixture, quadratic models have been widely used. Several authors considered finding optimum designs for the estimation of the parameters of the model. The optimum designs for the estimation of optimum mixing proportions in Scheffé’s quadratic mixture model...
Persistent link: https://www.econbiz.de/10011039803
Persistent link: https://www.econbiz.de/10006824381
In a mixture experiment, the response depends on the proportions of the mixing components. Canonical models of different degrees and also other models have been suggested to represent the mean response. Optimum designs for estimation of the parameters of the models have been investigated by...
Persistent link: https://www.econbiz.de/10011151889
In a mixture experiment, the measured response is assumed to depend only on the relative proportion of ingredients or components present in the mixture. Scheffé [1958. Experiments with mixtures. J. Roy. Statist. Soc. B 20, 344-360; 1963. Simplex--centroid design for experiments with mixtures. J....
Persistent link: https://www.econbiz.de/10005254733
In this paper, we consider the estimation of the optimum factor combination in a response surface model. Assuming that the response function is quadratic concave and there is a linear cost constraint on the factor combination, we attempt to find the optimum design using the trace optimality...
Persistent link: https://www.econbiz.de/10008466732
Persistent link: https://www.econbiz.de/10010163028
Persistent link: https://www.econbiz.de/10009615933