Pages that link to "Item:Q1639226"
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The following pages link to A distance-based control chart for monitoring multivariate processes using support vector machines (Q1639226):
Displaying 10 items.
- Optimizing joint location-scale monitoring -- an adaptive distribution-free approach with minimal loss of information (Q1755400) (← links)
- Economic design under gamma shock model of the control chart for sustainable operations (Q2195992) (← links)
- Control charts for dynamic process monitoring with an application to air pollution surveillance (Q2686017) (← links)
- A kernel-distance-based multivariate control chart using support vector methods (Q4474669) (← links)
- A distribution‐free control chart for monitoring high‐dimensional processes based on interpoint distances (Q4633006) (← links)
- Integration of support vector machines and control charts for multivariate process monitoring (Q4914964) (← links)
- High-dimensional data monitoring using support machines (Q5082664) (← links)
- Root cause analysis of manufacturing variation from optical scanning data (Q6589066) (← links)
- Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data (Q6631088) (← links)
- Monitoring of group-structured high-dimensional processes via sparse group Lasso (Q6638857) (← links)
