外れ値を含んだ小サンプルに対するMedian-Median Lineを用いたタグチT法

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タイトル別名
  • Taguchi's T-method using Median-Median Line for Small Sample with Outliers
  • ハズレ チ オ フクンダ ショウサンプル ニ タイスル Median-Median Line オ モチイタ タグチ Tホウ

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<p>This paper proposes an improvement to Taguchi's T-method. In product development, it is difficult to gather sufficient samples at the beginning of the development process. Taguchi's T-method was proposed as a method for constructing an estimation model in such a situation. However, if an outlier exists in the training data, Taguchi's T-method cannot obtain a correct estimation model. This is because Taguchi's T-method uses the least squares. Therefore, in this paper, we propose an improved version of Taguchi's T-method that does not degrade the accuracy of estimation by using a median-median line even for small training samples with outliers. The Effectiveness of the proposed method is confirmed through experiments. We confirmed that the accuracy of the proposed method is superior to that of similar methods.</p>

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