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

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2018/07/01

タイトル(英語): Taguchi's T-method using Median-Median Line for Small Sample with Outliers

著者名: 西野　佳祐（和歌山大学システム工学部），鈴木　新（和歌山大学システム工学部）

著者名(英語): Keisuke Nishino (Faculty of Systems Engineering, Wakayama University), Arata Suzuki (Faculty of Systems Engineering, Wakayama University)

キーワード: タグチT法，Median-Median Line，重回帰分析，外れ値，小サンプル　　Taguchi's T-method，median-median line，multiple regression analysis，outlier，small sample

要約(英語): 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.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.138 No.7 （2018）

本誌掲載ページ: 598-604 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/138/7/138_598/_article/-char/ja/