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A phase I change-point method for high-dimensional process with sparse mean shifts Journal article
Huang, Wenpo, Shu, Lianjie, Li, Yanting, Wang, Luyao. A phase I change-point method for high-dimensional process with sparse mean shifts[J]. Naval Research Logistics, 2023, 70(3), 261-273.
Authors:  Huang, Wenpo;  Shu, Lianjie;  Li, Yanting;  Wang, Luyao
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:1.9/2.1 | Submit date：2023/01/05
Monitoring Scheme  Multivariate Statistical Process Control  Nonparametric Tests  Two-sample Tests  
A Bayesian approach to diagnosing covariance matrix shifts Journal article
Wang, Binhui, Xu, Feng, Shu, Lianjie. A Bayesian approach to diagnosing covariance matrix shifts[J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2019, 36(2), 736-752.
Authors:  Wang, Binhui;  Xu, Feng;  Shu, Lianjie
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:2.2/2.2 | Submit date：2021/12/06
Covariance Matrix  Fault Isolation  Gibbs Sampling  Multivariate Statistical Process Control  
A distribution-free control chart for monitoring high-dimensional processes based on interpoint distances Journal article
Shu,Lianjie, Fan,Jinyu. A distribution-free control chart for monitoring high-dimensional processes based on interpoint distances[J]. Naval Research Logistics, 2018, 65(4), 317-330.
Authors:  Shu,Lianjie;  Fan,Jinyu
Favorite | TC[WOS]:21 TC[Scopus]:22 | Submit date：2019/08/01
Control Chart  Minkowski Distance  Multivariate Statistical Process Control  
Monitoring multivariate process variability via eigenvalues Journal article
Fan,Jinyu, Shu,Lianjie, Zhao,Honghao, Yeung,Hangfai. Monitoring multivariate process variability via eigenvalues[J]. Computers and Industrial Engineering, 2017, 113, 269-281.
Authors:  Fan,Jinyu;  Shu,Lianjie;  Zhao,Honghao;  Yeung,Hangfai
Favorite | TC[WOS]:16 TC[Scopus]:17 | Submit date：2019/08/01
Covariance Matrix  Eigenvalues  Multivariate Statistical Process Control  Sparsity  Variability