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Research in network monitoring: Connections with SPM and new directions
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Research in network monitoring: Connections with SPM and new directions (2021)Research in network monitoring: Connectio…Monitoring sparse and attributed networks with online Hurdle models (2020)Monitoring sparse and attribu…A nonparametric CUSUM chart for monitoring multivariate serially correlated processes (2020)A nonparametric CUSUM chart f…A distribution-free joint monitoring scheme for location and scale using individual observations (2020)A distribution-free joint mon…Interconnectedness in the interbank market (2019)Interconnectedness in the int…An EWMA control chart for categorical processes with applications to social network monitoring (2019)An EWMA control chart for cat…A New Process Control Chart for Monitoring Short-Range Serially Correlated Data (2019)A New Process Control Chart f…Change detection in a dynamic stream of attributed networks (2018)Change detection in a dynamic…Dynamic network monitoring and control of in situ image profiles from ultraprecision machining and biomanufacturing processes (2017)Dynamic network monitoring an…Modeling and change detection of dynamic network data by a network state space model (2016)Modeling and change detection…An overview and perspective on social network monitoring (2016)An overview and perspective o…Statistical Thinking: Improving Business Performance (2002)Statistical Thinking: Improvi…Proportional Integral Derivative Charts for Process Monitoring (2002)Proportional Integral Derivat…Evolutionary Operation—A Statistical Method for Process Improvement (1970)Evolutionary Operation—A Stat…Evolutionary Operation: A Method for Increasing Industrial Productivity (1957)Evolutionary Operation: A Met…Time-Series Modeling for Statistical Process Control (1988)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Some Statistical Process Control Methods for Autocorrelated Data (1991)A joint monitoring scheme for automatically controlled processes (2004)An Optimal Filter Design Approach to Statistical Process Control (2007)Integrating SPC and EPC Methods for Quality Improvement (2007)No Contagion, Only Interdependence: Measuring Stock Market Comovements (2002)The Impact of Uncertainty Shocks (2009)On the network topology of variance decompositions: Measuring the connectedness of financial firms (2014)Dynamic Interpretation of Emerging Risks in the Financial Sector (2019)Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions (2021)Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle (2022)Introduction to Statistical Quality Control (1992)An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)Bridging the gap between theory and practice in basic statistical process monitoring (2016)An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme (2018)A Review of Some Sampling and Aggregation Strategies for Basic Statistical Process Monitoring (2019)Cumulative Sum Charts and Charting for Quality Improvement (1998)Big Data? Statistical Process Control Can Help! (2019)Nonparametric monitoring of multivariate data via KNN learning (2020)The Psychology of Interpersonal Relations. (1958)The psychology of interpersonal relations. (1958)Social Exchange Theory: An Interdisciplinary Review (2005)A one-sided exponentially weighted moving average control chart for time between events (2021)A network surveillance approach using machine learning based control charts (2023)Employing machine learning techniques in monitoring autocorrelated profiles (2023)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data (2021)Control charts for dynamic process monitoring with an application to air pollution surveillance (2023)A nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy (2024)The Role of Statistical Design of Experiments in Six Sigma: Perspectives of a Practitioner (2002)Six Sigma in industry: some observations after twenty‐five years (2010)Statistical Thinking and Methods in Quality Improvement: A Look to the Future (2010)Modeling and monitoring unweighted networks with directed interactions (2020)Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice (2024)Experimental Design: Review and Comment (1984)Statistical Process Monitoring and Feedback Adjustment: A Discussion (1992)Experimental design II. Optimization (1996)Response Surface Bandits (1995)
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References

  • 1957Evolutionary Operation: A Method for Increasing Industrial Productivity576 cited
  • 2019Interconnectedness in the interbank market171 cited
  • 2016An overview and perspective on social network monitoring122 cited
  • 1970Evolutionary Operation—A Statistical Method for Process Improvement93 cited
  • 2002Statistical Thinking: Improving Business Performance81 cited
  • 2019A New Process Control Chart for Monitoring Short-Range Serially Correlated Data69 cited
  • 2020A nonparametric CUSUM chart for monitoring multivariate serially correlated processes63 cited
  • 2019An EWMA control chart for categorical processes with applications to social network monitoring52 cited
  • 2002Proportional Integral Derivative Charts for Process Monitoring43 cited
  • 2018Change detection in a dynamic stream of attributed networks36 cited
  • 2016Modeling and change detection of dynamic network data by a network state space model28 cited
  • 2017Dynamic network monitoring and control of in situ image profiles from ultraprecision machining and biomanufacturing processes28 cited
  • 2020A distribution-free joint monitoring scheme for location and scale using individual observations16 cited
  • 2020Monitoring sparse and attributed networks with online Hurdle models15 cited

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