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Determining the Reference Sample Size Needed to Control the Accuracy of the Conditional in‐control ARL of a Normal‐theory CUSUM
10 references·2 citing·40 second hop
Determining the Reference Sample Size Needed to Control the Accuracy of the Conditional in‐control ARL of a Normal‐theory CUSUM (2016)Determining the Reference Sample Size Nee…Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2016)Guaranteed Conditional Perfor…Another Look at the EWMA Control Chart with Estimated Parameters (2015)Another Look at the EWMA Cont…Introduction to Statistical Process Control (2014)Introduction to Statistical P…Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2013)Guaranteed Conditional Perfor…Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Effects of Parameter Estimati…The Run Length Distribution of the CUSUM with Estimated Parameters (2004)The Run Length Distribution o…Cumulative Sum Charts and Charting for Quality Improvement (1998)Cumulative Sum Charts and Cha…Designing Control Charts Using an Empirical Reference Distribution (1996)Designing Control Charts Usin…SPCQCharts for Start-Up Processes and Short or Long Runs (1991)SPCQCharts for Start-Up Proce…The Influence of Reference Values and Estimated Variance on the Arl of Cusum Tests (1975)The Influence of Reference Va…Adaptive CUSUM chart with cautious parameter learning (2022)Adaptive CUSUM chart with cau…An alternative design of the two-sided CUSUM chart for monitoring the mean when parameters are estimated (2019)An alternative design of the …CONTINUOUS INSPECTION SCHEMES (1954)An Approach to the Probability Distribution of Cusum Run Length (1972)A Self-Starting Control Chart for Linear Profiles (2007)Distribution-free cumulative sum control charts using bootstrap-based control limits (2009)Nonparametric CUSUM and EWMA Control Charts for Detecting Mean Shifts (2010)Time Series Analysis: Forecasting and Control (1977)The Shewhart Control Chart—Tests for Special Causes (1984)Some Statistical Process Control Methods for Autocorrelated Data (1991)A control chart based on a change-point model for monitoring linear profiles (2006)Phase I Statistical Process Control Charts: An Overview and Some Results (2008)An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)A review of multivariate control charts (1995)Introduction to Statistical Quality Control (2005)Current research on profile monitoring (2007)Statistical Decision Theory (1989)Model-Based and Model-Free Control of Autocorrelated Processes (1995)A Comparison of Shewhart Individuals Control Charts Based on Normal, Non‐parametric, and Extreme‐value Theory (2003)A cusum change-point detection algorithm for non-stationary sequences with application to data network surveillance (2010)Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods (2016)Control Chart Tests Based on Geometric Moving Averages (1959)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Introduction to Statistical Quality Control (1992)A Reevaluation of the Adaptive Exponentially Weighted Moving Average Control Chart When Parameters are Estimated (2014)Guaranteed conditional performance of theS2control chart with estimated parameters (2015)The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters (2015)Introduction to Statistical Quality Control (1987)Conceptualizing and Measuring Variety in the Execution of Organizational Work Processes (2003)Sequential Variety in Work Processes (2003)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis (2015)Cumulative Sum Tests: Theory and Practice (1969)The Effect of Serial Correlation on the Performance of CUSUM Tests (1974)Off-Line Statistical Process Control (2002)Adaptive CUSUM of theQchart (2008)The extended homogeneously weighted moving average control chart (2021)Optimal Stopping Times for Detecting Changes in Distributions (1986)Rethinking control chart design and evaluation (2019)Economic Control of Quality of Manufactured Product. (1932)Research Issues and Ideas in Statistical Process Control (1999)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)
this work references cited by second hop

References

  • 1998Cumulative Sum Charts and Charting for Quality Improvement842 cited
  • 2006Effects of Parameter Estimation on Control Chart Properties: A Literature Review582 cited
  • 1991SPCQCharts for Start-Up Processes and Short or Long Runs244 cited
  • 2015Another Look at the EWMA Control Chart with Estimated Parameters156 cited
  • 2013Guaranteed Conditional Performance of Control Charts via Bootstrap Methods147 cited
  • 2016Guaranteed Conditional Performance of Control Charts via Bootstrap Methods147 cited
  • 2004The Run Length Distribution of the CUSUM with Estimated Parameters142 cited
  • 2014Introduction to Statistical Process Control135 cited
  • 1996Designing Control Charts Using an Empirical Reference Distribution85 cited
  • 1975The Influence of Reference Values and Estimated Variance on the Arl of Cusum Tests38 cited

Cited by

  • 2019An alternative design of the two-sided CUSUM chart for monitoring the mean when parameters are estimated22 cited
  • 2022Adaptive CUSUM chart with cautious parameter learning12 cited

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