Robust parameter design with covariates of multiple noise factors

Article Properties
  • Language
    English
  • DOI (url)
    10.17929/tqs.1.77
  • Publication Date
    2015/01/01
  • Journal
    Total Quality Science
  • Indian UGC (journal)
  • Refrences
    12
  • Citations
    1
  • Kensuke Goto Waseda University
  • Hironao Sato Tokyo Institute of Technology
  • Masami Miyakawa Tokyo Institute of Technology
  • Yasushi Nagata Waseda University
Cite
Goto, Kensuke, et al. “Robust Parameter Design With Covariates of Multiple Noise Factors”. Total Quality Science, vol. 1, no. 2, 2015, pp. 77-88, https://doi.org/10.17929/tqs.1.77.
Goto, K., Sato, H., Miyakawa, M., & Nagata, Y. (2015). Robust parameter design with covariates of multiple noise factors. Total Quality Science, 1(2), 77-88. https://doi.org/10.17929/tqs.1.77
Goto K, Sato H, Miyakawa M, Nagata Y. Robust parameter design with covariates of multiple noise factors. Total Quality Science. 2015;1(2):77-88.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1115/1.800288
Robust Parameter Design With Feed-Forward Control Technometrics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 21 2003
10.1002/9780470316672
Tatebayashi, K. (2004): Introduction to Taguchi Method, JUSE Press (In Japanese).
Taguchi, G. (1988): Quality Engineering Case Studies: Japan General, Japanese Standard Association (In Japanese).
Citations
Title Journal Journal Categories Citations Publication Date
Robust Parameter Designs for Reducing Effects of Noise Covariates: A Performance Measure Approach Ouyou toukeigaku 2017