A graphical method for evaluating the effect of design augmentation, missing observation, and outlier in mixture experiments

혼합물 실험계획에서 실험점의 확장, 결측치, 이상치의 영향을 평가할 수 있는 그래픽 방법

D-optimality is used often in design augmentation of mixture experiments. Although such alphabetic criteria provide a valuable foundation for generating designs, they often fail to convey the true nature of the design's support of the fitted model in terms of prediction variance over a region of interest. Thus, a graphical method is proposed to evaluate augmented designs in mixture experiments. This method can be used to evaluate the effect of missing observation and outlier in mixture experiments.