Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring
From MaRDI portal
Publication:6622443
DOI10.1080/00401706.2017.1375993MaRDI QIDQ6622443
Yajun Mei, Kamran Paynabar, Yuan Wang
Publication date: 22 October 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- LASSO-based multivariate linear profile monitoring
- The likelihood ratio test for the change point problem for exponentially distributed random variables
- The limit distributions of likelihood ratio and cumulative sum tests for a change in a binomial probability
- Asymptotic optimality of new adaptive test in regression model
- Functional data analysis.
- Test of Significance Based on Wavelet Thresholding and Neyman's Truncation
- Tests for a change-point
- The likelihood ratio test for a change-point in simple linear regression
- Detecting Changes in the Mean of Functional Observations
- Data-reduction method for spatial data using a structured wavelet model
- Wavelet-based SPC procedure for complicated functional data
Related Items (2)
Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model ⋮ Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data
This page was built for publication: Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring