Bibliographic Details
| Title: |
Semiparametric approach for dual-response robust design with complex two-factor interactions. |
| Authors: |
Yang, Shijuan, Liu, Jinpei, Du, Pengcheng, Wu, Jiawei, Wan, Liangqi |
| Source: |
Quality Engineering; 2026, Vol. 38 Issue 2, p138-160, 23p |
| Subject Terms: |
Response surfaces (Statistics), Nonparametric estimation, Fault tolerance (Engineering), Statistical models, Mathematical optimization |
| Abstract: |
Most robust design studies based on parametric dual response surface (DRS) models often overlook the impact of model misspecification on optimization outcomes. Furthermore, while nonparametric methods avoid strict assumptions about model structure, they suffer from the curse of dimensionality in high-dimensional settings and may fail to incorporate valuable prior knowledge. To address these limitations, this study proposes a DRS model based on a semiparametric functional coefficient model (SFCM), which integrates parametric and nonparametric modeling techniques to mitigate model uncertainty. The key contribution of the SFCM-based DRS lies in its ability to represent interaction terms as functions of additional factors, thereby providing a flexible framework for analyzing dynamic and nonlinear interactions. Two case studies alongside a simulation study validate the efficacy of the proposed method in improving the quality of product or process. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |