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Design and comparison of some Shewhart‐type schemes for simultaneous monitoring of Weibull parameters
16 references·4 citing·43 second hop
Design and comparison of some Shewhart‐type schemes for simultaneous monitoring of Weibull parameters (2018)Design and comparison of some Shewhart‐ty…Distribution-free Lepage Type Circular-grid Charts for Joint Monitoring of Location and Scale Parameters of a Process (2016)Distribution-free Lepage Type…A Mixed EWMA–CUSUM Control Chart for Weibull‐Distributed Quality Characteristics (2016)A Mixed EWMA–CUSUM Control Ch…Control Charts for Simultaneous Monitoring of Parameters of a Shifted Exponential Distribution (2015)Control Charts for Simultaneo…Shewhart Control Charts for Monitoring Reliability with Weibull Lifetimes (2014)Shewhart Control Charts for M…Moving range EWMA control charts for monitoring the Weibull shape parameter (2014)Moving range EWMA control cha…Monitoring the Weibull Shape Parameter with Type II Censored Data (2014)Monitoring the Weibull Shape …Cumulative Sum Control Charts for Monitoring Weibull-distributed Time Between Events (2014)Cumulative Sum Control Charts…Control Charts for Joint Monitoring of Mean and Variance: An Overview (2013)Control Charts for Joint Moni…A study of time‐between‐events control chart for the monitoring of regularly maintained systems (2008)A study of time‐between‐event…A study of EWMA chart with transformed exponential data (2006)A study of EWMA chart with tr…On the Monitoring of Linear Profiles (2003)On the Monitoring of Linear P…Some effective control chart procedures for reliability monitoring (2002)Some effective control chart …Data transformation for geometrically distributed quality characteristics (2000)Data transformation for geome…Shewhart control charts for the scale parameter of a Weibull control variable with fixed and variable sampling intervals (1999)Shewhart control charts for t…Transforming Non-Normal Data to Normality in Statistical Process Control (1998)Transforming Non-Normal Data …Economic Statistical Control-Chart Designs with an Application to X and R Charts (1989)Economic Statistical Control-…Online monitoring of the Weibull distributed process based on progressive Type II censoring scheme (2023)Online monitoring of the Weib…Comparisons of some memory‐type control chart for monitoring Weibull‐distributed time between events and some new results (2022)Comparisons of some memory‐ty…EWMA and adaptive EWMA variable sampling intervals charts for simultaneous monitoring of Weibull parameters (2021)EWMA and adaptive EWMA variab…Performance comparisons of distribution-free Shewhart-type Lepage and Cucconi schemes in monitoring complex process distributions (2020)Performance comparisons of di…Personal communication (1989)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Introduction to Statistical Quality Control (1992)Phase I Analysis of Linear Profiles With Calibration Applications (2004)Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes (2007)Statistical monitoring of nonlinear product and process quality profiles (2007)Introduction to Statistical Quality Control (1997)Using Profile Monitoring Techniques for a Data‐rich Environment with Huge Sample Size (2005)Using Lean Six Sigma to improve mobile order fulfilment process in a telecom service sector (2018)Linking employer branding orientation and firm performance: Testing a dual mediation route of recruitment efficiency and positive affective climate (2019)A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts (1987)Monitoring the Weibull shape parameter by control charts for the sample range (2010)Monitoring the Weibull Shape Parameter by Control Charts for the Sample Range of Type II Censored Data (2011)Statistical Process Control (2012)Control Chart Tests Based on Geometric Moving Averages (2000)Monitoring reliability for a three-parameter Weibull distribution (2008)An EWMA monitoring scheme with a single auxiliary variable for industrial processes (2017)An Approach to the Probability Distribution of Cusum Run Length (1972)Optimal Detection of a Change in Distribution (1985)Cumulative Sum Charts and Charting for Quality Improvement (1998)Monitoring of time between events with a double generally weighted moving average control chart (2018)Evaluation of Shewhart time-between-events-and-amplitude control charts for several distributions (2019)SPCQCharts for Start-Up Processes and Short or Long Runs (1991)Monitoring Process Mean and Variability with One EWMA Chart (2001)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)A New Distribution‐free Control Chart for Joint Monitoring of Unknown Location and Scale Parameters of Continuous Distributions (2013)Distribution‐free Phase II CUSUM Control Chart for Joint Monitoring of Location and Scale (2014)A distribution-free phase-II CUSUM procedure for monitoring service quality (2016)Introduction to Statistical Quality Control (2001)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)Introduction to Statistical Process Control (2013)Optimal design of Shewhart–Lepage type schemes and its application in monitoring service quality (2017)Some distribution-free Lepage-type schemes for simultaneous monitoring of one-sided shifts in location and scale (2017)A new nonparametric adaptive EWMA control chart with exact run length properties (2019)Introduction to Statistical Quality Control (2005)Exponential cumulative sums chart for detecting shifts in time-between-events (2017)Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: An application in glass field (2021)Control Charts Based on the Exponential Distribution: Adapting Runs Rules for the t Chart (2013)Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2013)Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2016)THE USE OF STATISTICAL PROCESS CONTROL AND DESIGN OF EXPERIMENTS IN PRODUCT AND PROCESS IMPROVEMENT (1992)Statistical Surveillance. Optimality and Methods (2003)A Distribution‐free Control Chart for the Joint Monitoring of Location and Scale (2011)
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References

  • 2003On the Monitoring of Linear Profiles485 cited
  • 1998Transforming Non-Normal Data to Normality in Statistical Process Control299 cited
  • 2002Some effective control chart procedures for reliability monitoring271 cited
  • 1989Economic Statistical Control-Chart Designs with an Application to X and R Charts167 cited
  • 2013Control Charts for Joint Monitoring of Mean and Variance: An Overview133 cited
  • 2006A study of EWMA chart with transformed exponential data72 cited
  • 2016Distribution-free Lepage Type Circular-grid Charts for Joint Monitoring of Location and Scale Parameters of a Process62 cited
  • 2014Cumulative Sum Control Charts for Monitoring Weibull-distributed Time Between Events59 cited
  • 2015Control Charts for Simultaneous Monitoring of Parameters of a Shifted Exponential Distribution53 cited
  • 1999Shewhart control charts for the scale parameter of a Weibull control variable with fixed and variable sampling intervals51 cited
  • 2008A study of time‐between‐events control chart for the monitoring of regularly maintained systems51 cited
  • 2016A Mixed EWMA–CUSUM Control Chart for Weibull‐Distributed Quality Characteristics38 cited
  • 2014Shewhart Control Charts for Monitoring Reliability with Weibull Lifetimes38 cited
  • 2014Moving range EWMA control charts for monitoring the Weibull shape parameter

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35 cited
  • 2000Data transformation for geometrically distributed quality characteristics34 cited
  • 2014Monitoring the Weibull Shape Parameter with Type II Censored Data20 cited
  • Cited by

    • 2021EWMA and adaptive EWMA variable sampling intervals charts for simultaneous monitoring of Weibull parameters14 cited
    • 2023Online monitoring of the Weibull distributed process based on progressive Type II censoring scheme11 cited
    • 2022Comparisons of some memory‐type control chart for monitoring Weibull‐distributed time between events and some new results10 cited
    • 2020Performance comparisons of distribution-free Shewhart-type Lepage and Cucconi schemes in monitoring complex process distributions9 cited