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Comparison of Novelty Score-Based Multivariate Control Charts
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Comparison of Novelty Score-Based Multivariate Control Charts (2014)Comparison of Novelty Score-Based Multiva…Bootstrap-Based T 2 Multivariate Control Charts (2011)Bootstrap-Based T 2 Multivari…One-class classification-based control charts for multivariate process monitoring (2009)One-class classification-base…Distribution-free multivariate process control based on log-linear modeling (2008)Distribution-free multivariat…Decision tree based control chart pattern recognition (2008)Decision tree based control c…Distribution-Free Quality Control Charts Based on Signed-Rank-Like Statistics (2006)Distribution-Free Quality Con…Artificial neural networks to classify mean shifts from multivariate χ2 chart signals (2004)Artificial neural networks to…A nonparametric multivariate cumulative sum procedure for detecting shifts in all directions (2003)A nonparametric multivariate …A kernel-distance-based multivariate control chart using support vector methods (2003)A kernel-distance-based multi…Support vector machines for recognizing shifts in correlated and other manufacturing processes (2002)Support vector machines for r…Robustness to Non-Normality of the Multivariate EWMA Control Chart (2002)Robustness to Non-Normality o…Multivariate Statistical Process Control with Industrial Applications (2002)Multivariate Statistical Proc…Nonparametric Control Charts: An Overview and Some Results (2001)Nonparametric Control Charts:…A Rank-Based Multivariate CUSUM Procedure (2001)A Rank-Based Multivariate CUS…Control Charts for Multivariate Processes (1995)Control Charts for Multivaria…X -bar and R control chart interpretation using neural computing (1994)X -bar and R control chart in…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Impact of Data Distribution and Bootstrap Setting on Anomaly Detection Using Isolation Forest in Process Quality Control (2025)Impact of Data Distribution a…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Introduction to Statistical Quality Control (2001)A Multivariate Sign EWMA Control Chart (2011)Some perspectives on nonparametric statistical process control (2018)Cumulative Sum Charts and Charting for Quality Improvement (1998)Economic Control of Quality of Manufactured Product. (1932)Economic prediction using neural networks: the case of IBM daily stock returns (1988)A neural network approach to mutual fund net asset value forecasting (1996)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (2007)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Introduction to Time Series and Forecasting (2002)Likelihood Ratio-Based Distribution-Free EWMA Control Charts (2010)On Nonparametric Statistical Process Control of Univariate Processes (2011)CONTINUOUS INSPECTION SCHEMES (1954)Research Issues and Ideas in Statistical Process Control (1999)Controversies and Contradictions in Statistical Process Control (2000)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)Multivariate Quality Control (1947)Modern Methods for Quality Control and Improvement. (1987)An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)A review of multivariate control charts (1995)Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)Statistical monitoring of nonlinear product and process quality profiles (2007)Multivariate Statistical Process Control Using LASSO (2009)Profile Monitoring via Nonlinear Mixed Models (2009)Distribution-free cumulative sum control charts using bootstrap-based control limits (2009)A spatial rank‐based multivariate EWMA control chart (2012)An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring (2014)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)
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  • 2004Artificial neural networks to classify mean shifts from multivariate χ2 chart signals

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72 cited
  • 2008Decision tree based control chart pattern recognition57 cited
  • Cited by

    • 2025Impact of Data Distribution and Bootstrap Setting on Anomaly Detection Using Isolation Forest in Process Quality Control9 cited