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MIXTURE DESIGNS FOR FOUR FACTORS.
WISCONSIN UNIV MADISON DEPT OF STATISTICS
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Scheffe, in two recent papers 1958, 1963, has given designs for experimenting with mixtures. The basis of these designs is the choice of symmetrical arrangements of points in the factor space and the fitting of carefully chosen models which have exactly as many coefficients as there are data points. The designs are such that some of the experiments do not contain any of one or more ingredients of the mixture. This may or may not be a disadvantage depending on the problem involved. Here an alternate form of design selection is made for the case of mixtures of four factors. It extends the method used in the three factor case in an earlier paper, Draper and Lawrence, 1965. This involves the premise that, in the absence of specialist knowledge about the form of the true response function, it is desired to fit a response surface equation of first or second order over the factor space of possible mixtures, and experimental runs are needed which, in a certain sense, ensure the best surface fit possible. The principles used in the choice of appropriate designs will be those originally introduced by Box and Draper 1959. Author
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