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A distribution-free change-point monitoring scheme in high-dimensional settings with application to industrial image surveillance
16 references·0 citing·47 second hop
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The Geography of Intergenerational Mobility in the United States * (2014)Statistical Quality Control (1990)Control chart pattern recognition using learning vector quantization networks (1994)A neural network approach for the analysis of control chart patterns (1997)Feature-based recognition of control chart patterns (2006)An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems (2015)A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)Multivariate Quality Control (1947)Optimizing joint location-scale monitoring – An adaptive distribution-free approach with minimal loss of information (2018)Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data (2021)Kollár Ádám Ferenc levelezése (2000)Introduction to Statistical Process Control (2013)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)A new nonparametric adaptive EWMA procedures for monitoring location and scale shifts via weighted Cucconi statistic (2022)Shewhart Control Charts Implementation for Quality and Production Management (2023)Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice (2024)Multivariate SPC Charts for Monitoring Batch Processes (1995)EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes (1999)Multivariate Statistical Process Control Using LASSO (2009)Adaptive Partially Observed Sequential Change Detection and Isolation (2022)A distribution-free Max-EWMA scheme for multi-aspect process monitoring with industrial applications (2024)Self-Starting Cusum Charts for Location and Scale (1987)Evolving Paradigms of Manufacturing: From Mass Production to Mass Customization and Personalization (2013)Exaptation in a digital innovation ecosystem: The disruptive impacts of 3D printing (2019)Phase I Distribution-Free Analysis of Multivariate Data (2017)A nonparametric CUSUM chart for monitoring multivariate serially correlated processes (2020)Distribution-free mixed GWMA-CUSUM and CUSUM-GWMA Mann–Whitney charts to monitor unknown shifts in the process location (2020)Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment (2020)Joint monitoring of post-sales online review processes based on a distribution-free EWMA scheme (2021)
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References

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  • 2021Real-time detection of clustered events in video-imaging data with applications to additive manufacturing42 cited
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  • 2019Control charts of mean and variance using copula Markov SPC and conditional distribution by copula23 cited
  • 2019Copula-based monitoring schemes for non-Gaussian multivariate processes18 cited
  • 2020A multivariate non-parametric control chart based on run test

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15 cited
  • 2020Modeling and monitoring unweighted networks with directed interactions12 cited
  • 2019Change detection of profile with jumps and its application to 3D printing9 cited
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