, Waseda University Department of Industrial and Management Systems Engineering School of Creative Science and Engineering Tokyo, Japan, Japan

• Quality Innovation Prosperity Vol. 24 No. 2 (2020) - Selected paper from the Q-MOD´2019 conference
  Anomaly Detection for Noisy Data with the Mahalanobis–Taguchi System
  Abstract  PDF