A kernel-distance-based multivariate control chart using support vector methods
From MaRDI portal
Publication:4474669
DOI10.1080/1352816031000075224zbMath1044.62125OpenAlexW2157175419MaRDI QIDQ4474669
Publication date: 12 July 2004
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/1352816031000075224
Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05)
Related Items (21)
A distance-based control chart for monitoring multivariate processes using support vector machines ⋮ High-dimensional data monitoring using support machines ⋮ Kernel methods for changes detection in covariance matrices ⋮ Principal component analysis-based control charts using support vector machines for multivariate non-normal distributions ⋮ A phase I change‐point method for high‐dimensional process with sparse mean shifts ⋮ A Shewhart-type nonparametric multivariate depth-based control chart for monitoring location ⋮ Support vector regression based residual control charts ⋮ Multivariate control chart based on the highest possibility region ⋮ Robust kernel distance multivariate control chart using support vector principles ⋮ A distribution-free multivariate CUSUM control chart using dynamic control limits ⋮ General support vector representation machine for one-class classification of non-stationary classes ⋮ Support vector regression based residual MCUSUM control chart for autocorrelated process ⋮ Integration of support vector machines and control charts for multivariate process monitoring ⋮ A new control chart in contaminated data of t‐Student distribution for individual observations ⋮ Multivariate Control Charts Based on Hybrid Novelty Scores ⋮ Robust Hotelling's T2control charts under non-normality: the case oft-Student distribution ⋮ Statistical Perspectives on “Big Data” ⋮ Kernel distance-based robust support vector methods and its application in developing a robust K-chart ⋮ Comparison of Novelty Score-Based Multivariate Control Charts ⋮ An optimal control chart for finite matrix sequences at some unknown change point ⋮ Big Data? Statistical Process Control Can Help!
Cites Work
This page was built for publication: A kernel-distance-based multivariate control chart using support vector methods