Analyzing Data from Mixture Experiments Containing Process Variables: A Split-Plot Approach

Abstract

Many industrial experiments involve the blending of ingredients and the changing of process conditions to produce end products of highest quality. Such experiments are known as mixture experiments with process variables.This paper discusses the analysis of data generated from mixture experiments with process variables where the design is of the split-plot type. Two examples are given of experiments consisting of three mixture components and two process variables to illustrate the testing of hypotheses concerning the coefficients in the combined mixture components-process variables model.

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