Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring

Yongxiang Li (Contributor)
Qiang Zhou (Creator)
Xiaohu Huang (Contributor)
Li Zeng (Creator)
Huang Xiaohu (Contributor)

Agriculture and Life Sciences, College of
Systems and Industrial Engineering

Dataset

Description

Profile monitoring is often conducted when the product quality is characterized by profiles. Although existing methods almost exclusively deal with univariate profiles, observations of multivariate profile data are increasingly encountered in practice. ...

Date made available	2017
Publisher	figshare

DOI
10.6084/m9.figshare.4748326.v1

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Creative Commons Attribution 4.0 International

1 Article

Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring
Li, Y., Zhou, Q., Huang, X. & Zeng, L., Jan 2 2018, In: Technometrics. 60, 1, p. 70-78 9 p.
Research output: Contribution to journal › Article › peer-review
18 Scopus citations

Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring

Description

DOI

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Research output

Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring

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