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Effect of neglecting autocorrelation in regression EWMA charts for monitoring count time series
16 references·0 citing·40 second hop
Effect of neglecting autocorrelation in regression EWMA charts for monitoring count time series (2018)Effect of neglecting autocorrelation in r…CUSUM chart to monitor autocorrelated counts using Negative Binomial GARMA model (2017)CUSUM chart to monitor autoco…CUSUM control charts to monitor series of Negative Binomial count data (2015)CUSUM control charts to monit…A new risk-adjusted Bernoulli cumulative sum chart for monitoring binary health data (2014)A new risk-adjusted Bernoulli…The Poisson INAR(1) CUSUM chart under overdispersion and estimation error (2011)The Poisson INAR(1) CUSUM cha…Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts (2011)Optimal exponentially weighte…Modelling Time Series Count Data: An Autoregressive Conditional Poisson Model (2008)Modelling Time Series Count D…Count data regression charts for the monitoring of surveillance time series (2008)Count data regression charts …A New EWMA Chart for Monitoring Process Dispersion (2008)A New EWMA Chart for Monitori…Introduction to Statistical Quality Control (2007)Introduction to Statistical Q…A One-Sided EWMA Control Chart for Monitoring Process Means (2007)A One-Sided EWMA Control Char…Cusum Charts for Monitoring an Autocorrelated Process (2001)Cusum Charts for Monitoring a…An approximate CUSUM procedure for surveillance of health events (1999)An approximate CUSUM procedur…A generalized quality control procedure (1991)A generalized quality control…Monitoring Poisson Observations Using Modified Exponentially Weighted Moving Average Control Charts (1990)Monitoring Poisson Observatio…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on …Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Inferring Trade Direction from Intraday Data (1991)Multivariate autoregressive modeling of time series count data using copulas (2007)Forecasting the intermittent demand for slow-moving inventories: A modelling approach (2011)Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued GARCH models (2011)Optimal Stopping Times for Detecting Changes in Distributions (1986)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)Surveillance of Nonhomogeneous Poisson Processes (2014)A Binomial Integer-Valued ARCH Model (2015)Optimal Properties of Exponentially Weighted Forecasts (1960)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A review of multivariate control charts (1995)Research Issues and Ideas in Statistical Process Control (1999)CONTINUOUS INSPECTION SCHEMES (1954)Sampling Inspection of Continuous Processes with No Autocorrelation Between Successive Results (1960)A Comparison of Some Control Chart Procedures (1966)Statistical Issues in the Prospective Monitoring of Health Outcomes Across Multiple Units (2004)Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes (2012)Procedures for Reacting to a Change in Distribution (1971)A comparison of CUSUM, EWMA, and temporal scan statistics for detection of increases in poisson rates (2009)New EWMA Charts for Monitoring Process Dispersion (2010)Monitoring the Ratio of Two Normal Variables Using EWMA Type Control Charts (2015)Time Series Analysis: Forecasting and Control (1977)Statistical process control procedures for correlated observations (1991)The AutoregressiveT2 Chart for Monitoring Univariate Autocorrelated Processes (2002)Control Charts for Time Series: A Review (2004)SPC Procedures for Monitoring Autocorrelated Processes (2007)An Approach to the Probability Distribution of Cusum Run Length (1972)MDEWMA chart: an efficient and robust alternative to monitor process dispersion (2011)CS‐EWMA Chart for Monitoring Process Dispersion (2012)Control Chart Tests Based on Geometric Moving Averages (1959)The Exponentially Weighted Moving Average (1986)A Moving Average Control Chart for Monitoring the Fraction Non‐conforming (2004)Monitoring poisson count data with probability control limits when sample sizes are time varying (2013)An Overview of Six Sigma (2008)A Review and Perspective on Control Charting with Image Data (2011)What is Quality? An Integrative Framework of Processes and States (2012)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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References

  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
  • 1959Control Chart Tests Based on Geometric Moving Averages1,544 cited
  • 2007Introduction to Statistical Quality Control770 cited
  • 2008Modelling Time Series Count Data: An Autoregressive Conditional Poisson Model189 cited
  • 2001Cusum Charts for Monitoring an Autocorrelated Process152 cited
  • 1999An approximate CUSUM procedure for surveillance of health events120 cited
  • 1990Monitoring Poisson Observations Using Modified Exponentially Weighted Moving Average Control Charts110 cited
  • 2008A New EWMA Chart for Monitoring Process Dispersion95 cited
  • 2008Count data regression charts for the monitoring of surveillance time series82 cited
  • 2007A One-Sided EWMA Control Chart for Monitoring Process Means82 cited
  • 2011The Poisson INAR(1) CUSUM chart under overdispersion and estimation error52 cited
  • 1991A generalized quality control procedure34 cited
  • 2015CUSUM control charts to monitor series of Negative Binomial count data29 cited
  • 2011Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts28 cited
  • 2017

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CUSUM chart to monitor autocorrelated counts using Negative Binomial GARMA model
15 cited
  • 2014A new risk-adjusted Bernoulli cumulative sum chart for monitoring binary health data14 cited
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