Authors: Nripes K. Mandal; Manisha Pal
Addresses: Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700 019, India ' Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700 019, India
Abstract: Mixture experiments form an important part of research in areas like pharmaceutical, biometrics, agriculture, etc. Optimum mixture designs have been derived by many authors for mixture models due to Scheffé (1958) and others. In most of these models, there is no discrimination among the components. However, in practice, the situation may be quite different. In this paper, we have considered a situation where some but not all of the interaction terms are present. Optimum designs have been determined for the estimation of parameters of a second degree model. Finally, optimum designs for prediction have also been considered.
Keywords: mixture design; incomplete model; D- and A-optimality criteria; optimum design.
International Journal of Experimental Design and Process Optimisation, 2019 Vol.6 No.1, pp.1 - 12
Available online: 20 Jan 2019 *Full-text access for editors Access for subscribers Purchase this article Comment on this article