Multivariable power least squares method. Complementary tool for response surface methodology

• Main Authors: Tey, W. Y., Lee, K. M., Asako, Y., Tan, L. K., Arai, N.
• 格式: Article
• 語言: English
• 出版: Ain Shams University 2020
• 主題: T Technology (General)
• 在線閱讀: http://eprints.utm.my/id/eprint/86385/1/YutakaAsako2020_MultivariablePowerLeastSquaresMethod.pdf; http://eprints.utm.my/id/eprint/86385/; https://dx.doi.org/10.1016/j.asej.2019.08.002

In Response Surface Methodology (RSM), variables are correlated through polynomial functions based on Stone-Weierstrass theorem. However, such formulation inherits four weaknesses: possible misleading approximation, incapability to accurately determine the ranking of factors' dominance, failure...