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Vol 9, No 3:

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Four Component Optimal and Nearly Optimal Orthogonally Blocked Designs for Husain and Parveen’s Model
Abstract
Four component mixture experiments involving process variables are considered. When two different blocks are orthogonal to each other, then the least square estimation of the parameters are independent of estimation of the parameters of the process variables. Optimal mixture designs involve only binary blends but many practical situations may require the minimum proportion of all the ingredients to be present in the mixture such as manufacturing of any drug requires all the needed components to be present in the mixture, in making pizza all the ingredients should be present to enhance the taste. So, in order to meet these requirements, Prescott (1998) suggested nearly optimal designs. In this paper, we have obtained Latin square based optimal and nearly optimal designs in four components for Husain and Parveen’s (2016) quadratic mixture model.
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ISSN(P) 2350-0174

ISSN(O) 2456-2378

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