Modelling Variation in Industrial Experiments
本文针对田口方法在工业离线质量控制中的应用，提出了一种简单灵活的模型来同时分析数据的均值和变异，并给出了基于统计原理的参数估计方法，附有工业实验数据示例。
For off-line quality control, the Taguchi method now receives much attention in industry. It effectively combines engineering knowledge with the power of the design of experiments, to minimize variability at the design stage of products and processes and to set the process level at the target value. The paper discusses the analysis of Taguchi experiments and proposes a simple and flexible model for the mean and variation of the data, as well as a model parameter estimation method that is based on sound statistical principles. Data from an industrial experiment are included for illustration