SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Multivariate statistical process control with artificial contrasts
1 references·16 citing·42 second hop
Multivariate statistical process control with artificial contrasts (2007)Multivariate statistical process control …Multivariate Quality Control-illustrated by the air testing of sample bombsights (1947)Multivariate Quality Control-…Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data (2021)Transparent Sequential Learni…Statistical Process Control Charts Applied to Rock Disintegration Quality Improvement (2020)Statistical Process Control C…Nonparametric monitoring of multivariate data via KNN learning (2020)Nonparametric monitoring of m…Nonparametric multivariate control chart based on density-sensitive novelty weight for non-normal processes (2019)Nonparametric multivariate co…Robust Multivariate Control Chart Based on Goodness-of-Fit Test (2016)Robust Multivariate Control C…Real-time process monitoring using kernel distances (2016)Real-time process monitoring …Statistical Perspectives on “Big Data” (2015)Statistical Perspectives on “…Adaptive nonparametric control chart for time-varying and multimodal processes (2015)Adaptive nonparametric contro…A general framework for monitoring complex processes with both in-control and out-of-control information (2015)A general framework for monit…Improved design of kernel distance–based charts using support vector methods (2013)Improved design of kernel dis…Gower distance-based multivariate control charts for a mixture of continuous and categorical variables (2013)Gower distance-based multivar…A clustering algorithm-based control chart for inhomogeneously distributed TFT-LCD processes (2013)A clustering algorithm-based …Integration of classification algorithms and control chart techniques for monitoring multivariate processes (2011)Integration of classification…Integration of support vector machines and control charts for multivariate process monitoring (2010)Integration of support vector…Tuned artificial contrasts to detect signals (2007)Tuned artificial contrasts to…Supervised learning for change-point detection (2006)Supervised learning for chang…Introduction to Statistical Quality Control (1992)Research Issues and Ideas in Statistical Process Control (1999)Introduction to Statistical Quality Control (2005)Nonparametric multivariate covariance chart for monitoring individual observations (2022)A nonparametric EWMA control chart for monitoring mixed continuous and count data (2023)A nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy (2024)Inference About the Change-Point in a Sequence of Random Variables (1970)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)An integrated supervised learning solution for monitoring process mean vector (2011)A probabilistic artificial neural network-based procedure for variance change point estimation (2014)A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes (2023)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)An adaptive approach to EWMA dispersion chart using Huber and Tukey functions (2019)One‐sided control chart based on support vector machines with differential evolution algorithm (2019)Control chart pattern recognition using spectral clustering technique and support vector machine under gamma distribution (2022)Economic Control of Quality of Manufactured Product. (1932)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Machine learning-based control charts for monitoring fraction nonconforming product in smart manufacturing (2022)Multivariate SPC Methods for Process and Product Monitoring (1996)On data depth and the application of nonparametric multivariate statistical process control charts (2016)Cumulative Sum Charts and Charting for Quality Improvement (1998)Copula-based monitoring schemes for non-Gaussian multivariate processes (2019)A bivariate exponentially weighted moving average control chart based on exceedance statistics (2022)A General Framework for Robust Monitoring of Multivariate Correlated Processes (2023)CONTINUOUS INSPECTION SCHEMES (1954)Optimal Stopping Times for Detecting Changes in Distributions (1986)A nonparametric CUSUM scheme for monitoring multivariate time-between-events-and-amplitude data with application to automobile painting (2021)Self-starting process monitoring based on transfer learning (2021)Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale (2023)The origins of kriging (1990)Control charts for dynamic process monitoring with an application to air pollution surveillance (2023)Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice (2024)Explainable AI for trustworthy intelligent process monitoring (2025)Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Big data: The next frontier for innovation, competition, and productivity (2011)The application of multivariate statistical process monitoring in non-industrial processes (2016)Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)The implementation of Lean Six Sigma for operational excellence in digital emerging technology companies (2021)A Rank-Based Multivariate CUSUM Procedure (2001)Wavelet-based multiscale statistical process monitoring: A literature review (2004)Multivariate Quality Control (2013)
this work references cited by second hop

References

  • 1947Multivariate Quality Control-illustrated by the air testing of sample bombsights471 cited

Cited by

  • 2015Statistical Perspectives on “Big Data”53 cited
  • 2021Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data50 cited
  • 2013Gower distance-based multivariate control charts for a mixture of continuous and categorical variables49 cited
  • 2020Nonparametric monitoring of multivariate data via KNN learning49 cited
  • 2015A general framework for monitoring complex processes with both in-control and out-of-control information41 cited
  • 2013Improved design of kernel distance–based charts using support vector methods41 cited
  • 2006Supervised learning for change-point detection34 cited
  • 2010Integration of support vector machines and control charts for multivariate process monitoring31 cited
  • 2016Robust Multivariate Control Chart Based on Goodness-of-Fit Test26 cited
  • 2007Tuned artificial contrasts to detect signals25 cited
  • 2013A clustering algorithm-based control chart for inhomogeneously distributed TFT-LCD processes23 cited
  • 2015Adaptive nonparametric control chart for time-varying and multimodal processes23 cited
  • 2011Integration of classification algorithms and control chart techniques for monitoring multivariate processes

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

22 cited
  • 2016Real-time process monitoring using kernel distances18 cited
  • 2020Statistical Process Control Charts Applied to Rock Disintegration Quality Improvement17 cited
  • 2019Nonparametric multivariate control chart based on density-sensitive novelty weight for non-normal processes12 cited