Taguchi's T-method using Median-Median Line for Small Sample with Outliers

Author:

Nishino Keisuke1,Suzuki Arata1

Affiliation:

1. Faculty of Systems Engineering, Wakayama University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering

Reference10 articles.

1. (1) S. Iizuka: “Analysis and Forecasts about the Business Model of M2M/IoT: IoT Brings Great Change of the Internet Business”, J. of Information and Management, Vol. 35, No. 4, pp. 27-33 (2015) (in Japanese)

2. (2) J. Inoh, Y. Nagata, K. Horita, and A. Mori: “Prediction accuracies of improved Taguchi's T Methods compared to those of multiple regression analysis”, J. of the Japanese Society for Quality Control, Vol. 42, No. 2, pp. 265-277 (2012) (in Japanese)

3. (3) S. Negishi, Y. Morimoto, S. Takayama, and A. Ishigame: “Daily Peak Load Forecasting by Taguchis T Method”, IEEJ Trans. EIS, Vol. 136, No. 6, pp. 794-801 (2016) (in Japanese)

4. (4) E. A. Cudney, P. Shah, and R. Kestle: “Predicting vehicle cost using the T-method”, Int. J. of Product Development, Vol. 12, No. 3, pp. 311-323 (2010)

5. (5) A. Suzuki: “Inverse-model-based cuffless blood pressure estimation using a single photoplethysmography sensor”, J. of Engineering in Medicine, Vol. 229, No. 7, pp. 499-505 (2015)

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