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Distribution‐free mixed cumulative sum‐exponentially weighted moving average control charts for detecting mean shifts
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0471667196.ess7150openalex-snapshot
Nonparametric (Distribution‐Free) Quality Control Charts
inferredcites →https://doi.org/10.1002/qre.1175openalex-snapshot
Enhancing the performance of EWMA charts
inferredcites →https://doi.org/10.1002/qre.1385openalex-snapshot
Mixed Exponentially Weighted Moving Average–Cumulative Sum Charts for Process Monitoring
inferredcites →https://doi.org/10.1002/qre.1453openalex-snapshot
A New Hybrid Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean
inferredcites →https://doi.org/10.1002/qre.1678openalex-snapshot
Mixed Cumulative Sum–Exponentially Weighted Moving Average Control Charts: An Efficient Way of Monitoring Process Location
inferredcites →https://doi.org/10.1007/978-1-4612-1686-5openalex-snapshot
Cumulative Sum Charts and Charting for Quality Improvement
inferredcites →https://doi.org/10.1007/s00170-015-8083-1openalex-snapshot
Distribution-free Phase II Mann–Whitney control charts with runs-rules
inferredcites →https://doi.org/10.1016/j.csda.2008.08.032openalex-snapshot
Optimization designs of the combined Shewhart-CUSUM control charts
inferredcites →https://doi.org/10.1016/j.ijpe.2011.08.026openalex-snapshot
A comparison study of effectiveness and robustness of control charts for monitoring process mean
inferredcites →https://doi.org/10.1080/00224065.1999.11979899openalex-snapshot
EWMA Control Charts with Time-Varying Control Limits and Fast Initial Response
inferredcites →https://doi.org/10.1080/00224065.1999.11979944openalex-snapshot
Research Issues and Ideas in Statistical Process Control
inferredcites →https://doi.org/10.1080/00224065.2006.11918623openalex-snapshot
Effects of Parameter Estimation on Control Chart Properties: A Literature Review
inferredcites →https://doi.org/10.1080/00224065.2010.11917804openalex-snapshot
Determining Statistical Process Control Baseline Periods in Long Historical Data Streams
inferredcites →https://doi.org/10.1080/00224065.2010.11917817openalex-snapshot
Nonparametric CUSUM and EWMA Control Charts for Detecting Mean Shifts
inferredcites →https://doi.org/10.1080/00224065.2010.11917825openalex-snapshot
An Evaluation of a GLR Control Chart for Monitoring the Process Mean
inferredcites →https://doi.org/10.1080/00224065.2015.11918140openalex-snapshot
Another Look at the EWMA Control Chart with Estimated Parameters
inferredcites →https://doi.org/10.1080/07408170801961412openalex-snapshot
Adaptive CUSUM procedures with EWMA-based shift estimators
inferredcites →https://doi.org/10.1111/1467-9884.00203openalex-snapshot
Correspondence: Control Charts Based on Medians
inferredcites →https://doi.org/10.1198/tech.2005.s307openalex-snapshot
Introduction to Statistical Quality Control
inferredcites →https://doi.org/10.2307/1266443openalex-snapshot
Control Chart Tests Based on Geometric Moving Averages
inferredcites →https://doi.org/10.2307/1271439openalex-snapshot
Control Chart Tests Based on Geometric Moving Averages
inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
Individual Comparisons by Ranking Methods
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/qre.2233openalex-snapshot
Maximum likelihood estimation of change point from stationary to nonstationary in autoregressive models using dynamic linear model
inferred← citeshttps://doi.org/10.1002/qre.2640openalex-snapshot
Generalized multiple dependent state optimal control charts under ranked set sampling for monitoring process mean
inferred← citeshttps://doi.org/10.1002/qre.2810openalex-snapshot
A nonparametric triple exponentially weighted moving average sign control chart
inferred← citeshttps://doi.org/10.1002/qre.2842openalex-snapshot
Distribution‐free triple EWMA control chart for monitoring the process location using the Wilcoxon rank‐sum statistic with fast initial response feature
inferred← citeshttps://doi.org/10.1002/qre.2879openalex-snapshot
Nonparametric triple exponentially weighted moving average signed‐rank control chart for monitoring shifts in the process location
inferred← citeshttps://doi.org/10.1002/qre.2924openalex-snapshot
An extended nonparametric homogeneously weighted moving average sign control chart
inferred← citeshttps://doi.org/10.1002/qre.70114openalex-snapshot
Forty Years of Quality and Reliability Engineering International: Trends and Patterns From 1985–2024
inferred← citeshttps://doi.org/10.1002/stc.2287openalex-snapshot
Multivariate statistical process control-based hypothesis testing for damage detection in structural health monitoring systems
inferred← citeshttps://doi.org/10.1007/s00170-018-2545-1openalex-snapshot
A mixed nonparametric control chart for efficient process monitoring
inferred← citeshttps://doi.org/10.1016/j.cie.2020.106839openalex-snapshot
A multivariate non-parametric control chart based on run test
inferred← citeshttps://doi.org/10.1016/j.cie.2024.110110openalex-snapshot
A distribution-free Max-EWMA scheme for multi-aspect process monitoring with industrial applications
inferred← citeshttps://doi.org/10.1038/s41598-024-57407-1openalex-snapshot
Nonparametric mixed exponentially weighted moving average-moving average control chart
inferred← citeshttps://doi.org/10.1038/s41598-025-01734-4openalex-snapshot
Improved adaptive CUSUM control chart for industrial process monitoring under measurement error
inferred← citeshttps://doi.org/10.1080/00224065.2022.2034487openalex-snapshot
A critique of a variety of “memory-based” process monitoring methods
inferred← citeshttps://doi.org/10.1080/02664763.2023.2189771openalex-snapshot
Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters
inferred← citeshttps://doi.org/10.1080/03610918.2020.1811331openalex-snapshot
Distribution-free mixed GWMA-CUSUM and CUSUM-GWMA Mann–Whitney charts to monitor unknown shifts in the process location
inferred← citeshttps://doi.org/10.1080/03610926.2019.1634816openalex-snapshot
Wilcoxon-type rank-sum control charts based on progressively censored reference data
inferred← citeshttps://doi.org/10.1080/03610926.2021.1881120openalex-snapshot
Maximum likelihood estimation of the change point in stationary state of auto regressive moving average (ARMA) models, using SVD-based smoothing
inferred← citeshttps://doi.org/10.1080/16843703.2020.1753295openalex-snapshot
New distribution-free memory-type control charts based on the Wilcoxon rank-sum statistic
inferred← citeshttps://doi.org/10.1080/16843703.2020.1809063openalex-snapshot
The triple exponentially weighted moving average control chart
inferred← citeshttps://doi.org/10.1134/s1995080224605058openalex-snapshot
Distribution-free Mixed CUSUM-MA Control Chart to Detect Mean Shifts
inferred← citeshttps://doi.org/10.1155/2021/4035011openalex-snapshot
Robust Distribution-Free Hybrid Exponentially Weighted Moving Average Schemes Based on Simple Random Sampling and Ranked Set Sampling Techniques
inferred← citeshttps://doi.org/10.23919/ecc.2018.8550281openalex-snapshot
Multiscale PLS-based Optimized EW-GLRT for Structural Damage Detection
inferred← citeshttps://doi.org/10.28991/esj-2023-07-03-014openalex-snapshot
Mixed Tukey Exponentially Weighted Moving Average-Modified Exponentially Weighted Moving Average Control Chart for Process Monitoring
inferred← citeshttps://doi.org/10.5829/ije.2019.32.05b.15openalex-snapshot
Change Point Estimation of the Stationary State in Auto Regressive Moving Average Models, Using Maximum Likelihood Estimation and Singular Value Decomposition-based Filtering
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