Academic Journal
View in EDS

Semiparametric approach for dual-response robust design with complex two-factor interactions.

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]
Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=08982112&ISBN=&volume=38&issue=2&date=20260401&spage=138&pages=138-160&title=Quality Engineering&atitle=Semiparametric%20approach%20for%20dual-response%20robust%20design%20with%20complex%20two-factor%20interactions.&aulast=Yang%2C%20Shijuan&id=DOI:10.1080/08982112.2025.2520989
    Name: Full Text Finder (for New FTF UI) (ns324271)
    Category: fullText
    Text: Full Text Finder
    MouseOverText: Full Text Finder
Header DbId: edb
DbLabel: Complementary Index
An: 192657245
RelevancyScore: 1061
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1060.75964355469
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Semiparametric approach for dual-response robust design with complex two-factor interactions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Shijuan%22">Yang, Shijuan</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Jinpei%22">Liu, Jinpei</searchLink><br /><searchLink fieldCode="AR" term="%22Du%2C+Pengcheng%22">Du, Pengcheng</searchLink><br /><searchLink fieldCode="AR" term="%22Wu%2C+Jiawei%22">Wu, Jiawei</searchLink><br /><searchLink fieldCode="AR" term="%22Wan%2C+Liangqi%22">Wan, Liangqi</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Quality Engineering; 2026, Vol. 38 Issue 2, p138-160, 23p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Nonparametric+estimation%22">Nonparametric estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+tolerance+%28Engineering%29%22">Fault tolerance (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=192657245
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/08982112.2025.2520989
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 138
    Subjects:
      – SubjectFull: Response surfaces (Statistics)
        Type: general
      – SubjectFull: Nonparametric estimation
        Type: general
      – SubjectFull: Fault tolerance (Engineering)
        Type: general
      – SubjectFull: Statistical models
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
    Titles:
      – TitleFull: Semiparametric approach for dual-response robust design with complex two-factor interactions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yang, Shijuan
      – PersonEntity:
          Name:
            NameFull: Liu, Jinpei
      – PersonEntity:
          Name:
            NameFull: Du, Pengcheng
      – PersonEntity:
          Name:
            NameFull: Wu, Jiawei
      – PersonEntity:
          Name:
            NameFull: Wan, Liangqi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 08982112
          Numbering:
            – Type: volume
              Value: 38
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Quality Engineering
              Type: main
ResultId 1