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A Two‐Sided Cumulative Sum Chart for First‐Order Integer‐Valued Autoregressive Processes of Poisson Counts
13 references·15 citing·36 second hop
A Two‐Sided Cumulative Sum Chart for First‐Order Integer‐Valued Autoregressive Processes of Poisson Counts (2012)A Two‐Sided Cumulative Sum Chart for Firs…The Poisson INAR(1) CUSUM chart under overdispersion and estimation error (2011)The Poisson INAR(1) CUSUM cha…CUSUM charts for monitoring a zero‐inflated poisson process (2011)CUSUM charts for monitoring a…A generalized statistical control chart for over‐ or under‐dispersed data (2011)A generalized statistical con…Statistical Quality Control (2009)Statistical Quality ControlCUSUM Monitoring of First-Order Integer-Valued Autoregressive Processes of Poisson Counts (2009)CUSUM Monitoring of First-Ord…Encyclopedia of Statistics in Quality and Reliability (2008)Encyclopedia of Statistics in…Controlling correlated processes of Poisson counts (2007)Controlling correlated proces…Conditional and marginal performance of the Poisson CUSUM control chart with parameter estimation (2007)Conditional and marginal perf…The Effect of Estimated Parameters on Poisson EWMA Control Charts (2006)The Effect of Estimated Param…Poisson EWMA Control Charts (1998)Poisson EWMA Control ChartsCounted Data CUSUM's (1985)Counted Data CUSUM'sFast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start (1982)Fast Initial Response for CUS…An Approach to the Probability Distribution of Cusum Run Length (1972)An Approach to the Probabilit…Poisson QMLE for change-point detection in general integer-valued time series models (2021)Poisson QMLE for change-point…Quality Control - Intelligent Manufacturing, Robust Design and Charts (2020)Quality Control - Intelligent…EWMA control charts for monitoring correlated counts with finite range (2020)EWMA control charts for monit…Real-time monitoring of events applied to syndromic surveillance (2019)Real-time monitoring of event…Improved CUSUM monitoring of Markov counting process with frequent zeros (2019)Improved CUSUM monitoring of …Control charts based on dependent count data with deflation or inflation of zeros (2019)Control charts based on depen…A combined Shewhart-CUSUM chart with switching limit (2018)A combined Shewhart-CUSUM cha…Control charts for monitoring correlated counts with a finite range (2017)Control charts for monitoring…On ARL-unbiased c-charts for INAR(1) Poisson counts (2016)On ARL-unbiased c-charts for …SPC methods for time-dependent processes of counts—A literature review (2015)SPC methods for time-dependen…Detection of Changes in INAR Models (2015)Detection of Changes in INAR …Estimating the Change Point of Correlated Poisson Count Processes (2014)Estimating the Change Point o…A maximum likelihood approach to estimate the change point of multistage Poisson count processes (2014)A maximum likelihood approach…Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance (2013)Directionally Sensitive Multi…Cumulative sum charts for monitoring the COM-Poisson processes (2013)Cumulative sum charts for mon…CONTINUOUS INSPECTION SCHEMES (1954)Introduction to Statistical Quality Control (2005)Control Charts for Poisson Count Data with Varying Sample Sizes (2010)Changepoints in times series of counts (2012)Big Data? Statistical Process Control Can Help! (2019)A Comparison of Some Control Chart Procedures (1966)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes (2012)Procedures for Reacting to a Change in Distribution (1971)Combined Shewhart-CUSUM Quality Control Schemes (1982)A Note on Multivariate CUSUM Procedures (1987)Detecting a Shift in Fraction Nonconforming Using Run-Length Control Charts with 100% Inspection (1991)Control Charts Based on Attribute Data: Bibliography and Review (1997)A CUSUM Chart for Monitoring a Proportion When Inspecting Continuously (1999)The effect of parameter estimation on the performance of one-sided Shewhart control charts for zero-inflated processes (2015)Control Charts for Monitoring Correlated Poisson Counts with an Excessive Number of Zeros (2016)An adaptive EWMA control chart for monitoring zero-inflated Poisson processes (2019)Introduction to Statistical Quality Control (1992)Statistical Control Charts Based on a Geometric Distribution (1992)The Use of Probability Limits of COM–Poisson Charts and their Applications (2012)A Flexible and Generalized Exponentially Weighted Moving Average Control Chart for Count Data (2013)Control Charts for Dispersed Count Data: An Overview (2014)Introduction to Statistical Quality Control (2001)Recognition of Mental Workload Levels Under Complex Human–Machine Collaboration by Using Physiological Features and Adaptive Support Vector Machines (2014)Improving Data Quality Through Deep Learning and Statistical Models (2017)Nonparametric Phase-II control charts for monitoring high-dimensional processes with unknown parameters (2020)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Comparisons of MultivariateCUSUMCharts (1990)Monitoring correlated processes with binomial marginals (2009)Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued GARCH models (2011)SKU demand forecasting in the presence of promotions (2009)Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project (2015)Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2016)CUSUM Charts With Variable Sampling Intervals (1990)Use of risk-adjusted CUSUM and RSPRTcharts for monitoring in medical contexts (2003)
this work references cited by second hop

References

  • 1972An Approach to the Probability Distribution of Cusum Run Length886 cited
  • 2008Encyclopedia of Statistics in Quality and Reliability416 cited
  • 1985Counted Data CUSUM's410 cited
  • 1982Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start310 cited
  • 1998Poisson EWMA Control Charts189 cited
  • 2009CUSUM Monitoring of First-Order Integer-Valued Autoregressive Processes of Poisson Counts89 cited
  • 2007Controlling correlated processes of Poisson counts84 cited
  • 2009Statistical Quality Control70 cited
  • 2011A generalized statistical control chart for over‐ or under‐dispersed data63 cited
  • 2011CUSUM charts for monitoring a zero‐inflated poisson process53 cited
  • 2011The Poisson INAR(1) CUSUM chart under overdispersion and estimation error52 cited
  • 2007Conditional and marginal performance of the Poisson CUSUM control chart with parameter estimation45 cited
  • 2006The Effect of Estimated Parameters on Poisson EWMA Control Charts38 cited

Cited by

  • 2015SPC methods for time-dependent processes of counts—A literature review27 cited
  • 2013Cumulative sum charts for monitoring the COM-Poisson processes

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24 cited
  • 2018A combined Shewhart-CUSUM chart with switching limit22 cited
  • 2019Real-time monitoring of events applied to syndromic surveillance22 cited
  • 2020Quality Control - Intelligent Manufacturing, Robust Design and Charts16 cited
  • 2019Improved CUSUM monitoring of Markov counting process with frequent zeros16 cited
  • 2017Control charts for monitoring correlated counts with a finite range15 cited
  • 2016On ARL-unbiased c-charts for INAR(1) Poisson counts15 cited
  • 2019Control charts based on dependent count data with deflation or inflation of zeros11 cited
  • 2015Detection of Changes in INAR Models11 cited
  • 2014Estimating the Change Point of Correlated Poisson Count Processes11 cited
  • 2014A maximum likelihood approach to estimate the change point of multistage Poisson count processes10 cited
  • 2021Poisson QMLE for change-point detection in general integer-valued time series models9 cited
  • 2020EWMA control charts for monitoring correlated counts with finite range9 cited
  • 2013Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance9 cited