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EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments
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EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments (2013)EWMA Based Two-Stage Dataset Shift-Detect…Dataset Shift Detection in Non-stationary Environments Using EWMA Charts (2013)Dataset Shift Detection in No…Change-point detection in time-series data by relative density-ratio estimation (2013)Change-point detection in tim…Change detection tests using the ICI rule (2010)Change detection tests using …Computer intrusion detection through EWMA for autocorrelated and uncorrelated data (2003)Computer intrusion detection …Control Chart Tests Based on Geometric Moving Averages (2000)Control Chart Tests Based on …Robustness of the EWMA Control Chart to Non-Normality (1999)Robustness of the EWMA Contro…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on …An Approach to the Probability Distribution of Cusum Run Length (1972)Introduction to Statistical Quality Control (1997)Robustness to Non-Normality of the Multivariate EWMA Control Chart (2002)The Generally Weighted Moving Average Control Chart for Detecting Small Shifts in the Process Mean (2003)Some perspectives on nonparametric statistical process control (2018)Nonparametric Methods in Change-Point Problems (1993)Bayesian Online Changepoint Detection (2007)Detection of suicide-related posts in Twitter data streams (2018)Real-Time Change Point Detection with Application to Smart Home Time Series Data (2018)Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data (2020)CONTINUOUS INSPECTION SCHEMES (1954)Rank Correlation Methods. (1957)Rank Correlation Methods (1973)A hierarchical, nonparametric, sequential change-detection test (2011)The Exponentially Weighted Moving Average (1986)A distribution-free tabular CUSUM chart for autocorrelated data (2006)SPC Procedures for Monitoring Autocorrelated Processes (2007)EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments (2014)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)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)A new dynamic weighted majority control chart for data streams (2016)A new time adjusting control limits chart for concept drift detection (2021)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts (1987)Run-Length Distributions of Special-Cause Control Charts for Correlated Processes (1994)An Adaptive Exponentially Weighted Moving Average Control Chart (2003)
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References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 2000Control Chart Tests Based on Geometric Moving Averages1,252 cited
  • 1959Control Chart Tests Based on Geometric Moving Averages492 cited
  • 2013Change-point detection in time-series data by relative density-ratio estimation448 cited
  • 1999Robustness of the EWMA Control Chart to Non-Normality265 cited
  • 2003Computer intrusion detection through EWMA for autocorrelated and uncorrelated data138 cited
  • 2010Change detection tests using the ICI rule40 cited
  • 2013Dataset Shift Detection in Non-stationary Environments Using EWMA Charts31 cited

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