Multivariable power least squares method. Complementary tool for response surface methodology
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...
Main Authors: | Tey, W. Y., Lee, K. M., Asako, Y., Tan, L. K., Arai, N. |
---|---|
Format: | Article |
Language: | English |
Published: |
Ain Shams University
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/86385/1/YutakaAsako2020_MultivariablePowerLeastSquaresMethod.pdf |
Similar Items
-
Characterization of ozone production from multi-cylinder reactor in non-thermal plasma device using multivariable power least squares method
by: Tan, Lian See, et al.
Published: (2020) -
Moving least squares method and its improvement: a concise review
by: Tey, W. Y., et al.
Published: (2021) -
Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors
by: Wenxing Yu, et al.
Published: (2024-01-01) -
First order polarization tensor approximation using multivariate polynomial interpolation method via least square minimization technique
by: Sukri, S. A., et al.
Published: (2021) -
Programs in BASIC for non-linear and multivariate least-squares methods (with worked examples) /
by: 218163 Till, Roger
Published: (1977)