SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Exponentially weighted moving average plans for detecting unusual negative binomial counts
7 references·4 citing·38 second hop
Exponentially weighted moving average plans for detecting unusual negative binomial counts (2010)Exponentially weighted moving average pla…Improving EWMA Plans for Detecting Unusual Increases in Poisson Counts (2009)Improving EWMA Plans for Dete…The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)The Use of Control Charts in …Adaptive Thresholds (2006)Adaptive ThresholdsCUSUM Charts for Signalling Varying Location Shifts (2000)CUSUM Charts for Signalling V…An approximate CUSUM procedure for surveillance of health events (1999)An approximate CUSUM procedur…Cumulative Sum Charts and Charting for Quality Improvement (1998)Cumulative Sum Charts and Cha…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…Monitoring of three-phase variations in the mortality of COVID-19 pandemic using control charts: where does Pakistan stand? (2021)Monitoring of three-phase var…Quality Control - Intelligent Manufacturing, Robust Design and Charts (2020)Quality Control - Intelligent…Efficient monitoring of overdispersed counts with time-varying population sizes (2020)Efficient monitoring of overd…A robust CUSUM scheme with a weighted likelihood ratio to monitor an overdispersed counting process (2018)A robust CUSUM scheme with a …Optimal Properties of Exponentially Weighted Forecasts (1960)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)Count data regression charts for the monitoring of surveillance time series (2008)Likelihood-Based EWMA Charts for Monitoring Poisson Count Data With Time-Varying Sample Sizes (2012)An Adaptive Exponentially Weighted Moving Average Control Chart (2003)Detecting Periods of Significant Increased Communication Levels for Subgroups of Targeted Individuals (2015)New Cumulative Sum Control Chart for Monitoring Poisson Processes (2017)Monitoring communication outbreaks among an unknown team of actors in dynamic networks (2018)A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts (1987)SPCQCharts for Start-Up Processes and Short or Long Runs (1991)A cusum change-point detection algorithm for non-stationary sequences with application to data network surveillance (2010)Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts (2011)Effective Control Charts for Monitoring the NGINAR(1) Process (2015)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Current research on profile monitoring (2007)An Overview of Six Sigma (2008)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)An Approach to the Probability Distribution of Cusum Run Length (1972)Economic design of a CEV x control chart for determining optimal right-censored times (2021)A self-starting non-restarting CUSUM chart for monitoring Poisson count data with time-varying sample sizes (2023)Introduction to Statistical Quality Control (1992)The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement (2015)EWMA control chart based on its first hitting time and coronavirus alert levels for monitoring symmetric COVID-19 cases (2021)The optimal control chart selection for monitoring COVID-19 phases: a case study of daily deaths in the USA (2023)Portfolio Selection: Efficient Diversification of Investments. (1962)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Investor Psychology and Security Market Under‐ and Overreactions (1998)Combined Shewhart–EWMA and Shewhart–CUSUM monitoring schemes for time between events (2024)Procedures for Reacting to a Change in Distribution (1971)Adaptive CUSUM procedures with EWMA-based shift estimators (2008)An enhanced adaptive CUSUM control chart (2009)Optimal Design of a CUSUM Chart for a Mean Shift of Unknown Size (2010)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)
this work references cited by second hop

References

  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
  • 1998Cumulative Sum Charts and Charting for Quality Improvement842 cited
  • 2006The Use of Control Charts in Health-Care and Public-Health Surveillance587 cited
  • 2000CUSUM Charts for Signalling Varying Location Shifts258 cited
  • 1999An approximate CUSUM procedure for surveillance of health events120 cited
  • 2006Adaptive Thresholds55 cited
  • 2009Improving EWMA Plans for Detecting Unusual Increases in Poisson Counts21 cited

Cited by

  • 2018A robust CUSUM scheme with a weighted likelihood ratio to monitor an overdispersed counting process17 cited
  • 2020Quality Control - Intelligent Manufacturing, Robust Design and Charts16 cited
  • 2021Monitoring of three-phase variations in the mortality of COVID-19 pandemic using control charts: where does Pakistan stand?16 cited
  • 2020Efficient monitoring of overdispersed counts with time-varying population sizes11 cited

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