SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Robust Multivariate Shewhart Control Chart Based on the Stahel-Donoho Robust Estimator and Mahalanobis Distance for Multivariate Outlier Detection
12 references·0 citing·38 second hop
Robust Multivariate Shewhart Control Chart Based on the Stahel-Donoho Robust Estimator and Mahalanobis Distance for Multivariate Outlier Detection (2021)Robust Multivariate Shewhart Control Char…Outliers Detection Models in Shewhart Control Charts; an Application in Photolithography: A Semiconductor Manufacturing Industry (2020)Outliers Detection Models in …Cumulative Sum Chart Modeled under the Presence of Outliers (2020)Cumulative Sum Chart Modeled …A robust S2 control chart with Tukey's and MAD outlier detectors (2019)A robust S2 control chart wit…A Comparative Analysis of Robust Dispersion Control Charts with Application Related to Health Care Data (2019)A Comparative Analysis of Rob…In-control robustness comparison of different control charts (2017)In-control robustness compari…Robust point location estimators for the EWMA control chart (2016)Robust point location estimat…Another Look at the EWMA Control Chart with Estimated Parameters (2015)Another Look at the EWMA Cont…Some Recent Developments on the Effects of Parameter Estimation on Control Charts (2013)Some Recent Developments on t…Outlier Detection for Healthcare Quality Monitoring – A Comparison of Four Approaches to Over‐Dispersed Proportions (2013)Outlier Detection for Healthc…Robust Multivariate Control Chart for Outlier Detection Using Hierarchical Cluster Tree in SW2 (2012)Robust Multivariate Control C…Detecting outliers in complex profiles using a χ2control chart method (2009)Detecting outliers in complex…The Statistical Design of EWMA Control Charts with Estimated Parameters (2002)The Statistical Design of EWM…Meta-analysis in clinical trials (1986)Experimentation and Uncertainty Analysis for Engineers (1991)Funnel plots for detecting bias in meta-analysis (2001)Monitoring proportions with two components of common cause variation (2021)Control Chart Tests Based on Geometric Moving Averages (1959)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Controversies and Contradictions in Statistical Process Control (2000)A Self-Starting Control Chart for Linear Profiles (2007)A nonparametric control chart based on the Mann-Whitney statistic (2008)A spatial rank‐based multivariate EWMA control chart (2012)The Shewhart Control Chart—Tests for Special Causes (1984)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters (2015)The EWMA median chart with estimated parameters (2015)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)An Introduction to Statistical Quality Control. (1987)On-Line Monitoring When the Process Yields a Linear Profile (2000)A framework for nonparametric profile monitoring (2012)A Change Point Method for Monitoring Generalized Linear Profiles in Phase I (2014)A change point method for Phase II monitoring of generalized linear profiles (2014)Control Chart Tests Based on Geometric Moving Averages (2000)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Robust dual-CUSUM control charts for contaminated processes (2018)Economic control of quality of manufactured product (1932)CONTINUOUS INSPECTION SCHEMES (1954)Design and analysis of exponentially weighted moving average control charts for monitoring the variability of log‐normal processes with estimated parameters (2021)An unbiased function‐based Poisson adaptive EWMA control chart for monitoring range of shifts (2023)The Run Length Distribution of the CUSUM with Estimated Parameters (2004)Efficient GLM‐based control charts for Poisson processes (2021)On Enhanced GLM-Based Monitoring: An Application to Additive Manufacturing Process (2022)The Effect of Sample Size on Estimated Limits forXandXControl Charts (1993)A robust multivariate Shewhart chart for contaminated normal environments (2021)Monitoring therapeutic processes using risk‐adjusted multivariate Tukey's CUSUM control chart (2021)Improved simple linear profiling method with application to chemical gas sensors (2021)Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme (2021)
this work references cited by second hop

References

  • 2013Some Recent Developments on the Effects of Parameter Estimation on Control Charts178 cited
  • 2015Another Look at the EWMA Control Chart with Estimated Parameters156 cited
  • 2002The Statistical Design of EWMA Control Charts with Estimated Parameters129 cited
  • 2009Detecting outliers in complex profiles using a χ2control chart method47 cited
  • 2020Cumulative Sum Chart Modeled under the Presence of Outliers26 cited
  • 2017In-control robustness comparison of different control charts25 cited
  • 2020Outliers Detection Models in Shewhart Control Charts; an Application in Photolithography: A Semiconductor Manufacturing Industry24 cited
  • 2016Robust point location estimators for the EWMA control chart19 cited
  • 2019A Comparative Analysis of Robust Dispersion Control Charts with Application Related to Health Care Data17 cited
  • 2013Outlier Detection for Healthcare Quality Monitoring – A Comparison of Four Approaches to Over‐Dispersed Proportions16 cited
  • 2012Robust Multivariate Control Chart for Outlier Detection Using Hierarchical Cluster Tree in SW215 cited
  • 2019A robust S2 control chart with Tukey's and MAD outlier detectors12 cited

Cited by

No citing works inside the corpus for this window.

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