The T-method with the application of sparse modeling

Article Properties
  • Language
    English
  • DOI (url)
    10.17929/tqs.9.1
  • Publication Date
    2023/10/10
  • Journal
    Total Quality Science
  • Indian UGC (journal)
  • Refrences
    9
  • Ryo Asano Waseda University
  • Masato Ohkubo Toyo University
  • Shinto Eguchi Institute of Statistical Mathematics
  • Yasushi Nagata Waseda University
Cite
Asano, Ryo, et al. “The T-Method With the Application of Sparse Modeling”. Total Quality Science, vol. 9, no. 1, 2023, pp. 1-7, https://doi.org/10.17929/tqs.9.1.
Asano, R., Ohkubo, M., Eguchi, S., & Nagata, Y. (2023). The T-method with the application of sparse modeling. Total Quality Science, 9(1), 1-7. https://doi.org/10.17929/tqs.9.1
Asano R, Ohkubo M, Eguchi S, Nagata Y. The T-method with the application of sparse modeling. Total Quality Science. 2023;9(1):1-7.
Refrences
Title Journal Journal Categories Citations Publication Date
Regression Shrinkage and Selection Via the Lasso

 Journal of the Royal Statistical Society Series B: Statistical Methodology
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 8,979 1996
Net Demand Forecasting by Taguchi's T Method in Small or Middle Power Demand with PVs IEEJ Transactions on Electronics, Information and Systems 1 2017
Tatebayashi, K., Teshima, S., and Hasegawa, Y. (2008): Introduction to the MT System, JUSE Press, Ltd. (in Japanese).
Taguchi, G. (2005): Objective Function and Generic Function (6) - Prediction by Taguchi Methods, Journal of Quality Engineering Society, Vol. 13, No. 3, pp. 5–10. (in Japanese).
Sasaki, I. (2011): Prediction of Car Mileage by Both-Sides T-method, Journal of Quality Engineering Society, Vol. 19, No. 5, pp. 41–49. (in Japanese).