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Smart Monitoring Solutions for Real‐Time Water pH Regulation in Aquatic Ecotoxicology
16 references·0 citing·32 second hop
Smart Monitoring Solutions for Real‐Time Water pH Regulation in Aquatic Ecotoxicology (2025)Smart Monitoring Solutions for Real‐Time …On designing new mixed modified exponentially weighted moving average - exponentially weighted moving average control chart (2023)On designing new mixed modifi…Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: An application in glass field (2021)Mixed memory control chart ba…On a class of mixed EWMA‐CUSUM median control charts for process monitoring (2020)On a class of mixed EWMA‐CUSU…Assorted control charts: An efficient statistical approach to monitor pH values in ecotoxicology lab (2019)Assorted control charts: An e…Mixed multivariate EWMA-CUSUM control charts for an improved process monitoring (2016)Mixed multivariate EWMA-CUSUM…Mixed CUSUM-EWMA chart for monitoring process dispersion (2016)Mixed CUSUM-EWMA chart for mo…On increasing the sensitivity of mixed EWMA–CUSUM control charts for location parameter (2015)On increasing the sensitivity…Mixed Cumulative Sum–Exponentially Weighted Moving Average Control Charts: An Efficient Way of Monitoring Process Location (2014)Mixed Cumulative Sum–Exponent…Mixed Exponentially Weighted Moving Average–Cumulative Sum Charts for Process Monitoring (2012)Mixed Exponentially Weighted …Some issues in the design of EWMA Charts (2000)Some issues in the design of …Design of Exponentially Weighted Moving Average Schemes (1989)Design of Exponentially Weigh…An Introduction to Statistical Quality Control. (1987)An Introduction to Statistica…Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on …Control Charts for the Mean of a Normal Population (1954)Control Charts for the Mean o…CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESEconomic Quality Control of Manufactured Product 1 (1930)Economic Quality Control of M…Economic Control of Quality of Manufactured Product. (1932)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Introduction to Statistical Quality Control (1992)Exponentially weighted moving average—Moving average charts for monitoring the process mean (2020)A critique of a variety of “memory-based” process monitoring methods (2022)Control Chart Tests Based on Geometric Moving Averages (1959)Linear profile monitoring using EWMA structure under ranked set schemes (2017)Control Chart Tests Based on Geometric Moving Averages (2000)An Efficient Robust Nonparametric Triple EWMA Wilcoxon Signed-Rank Control Chart for Process Location (2021)An enhanced double homogeneously weighted moving average control chart to monitor process location with application in automobile field (2021)A literature review on joint control schemes in statistical process monitoring (2022)Time Series Analysis Forecasting and Control (1971)An EWMA for Monitoring a Process Standard Deviation (1992)EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes (1999)The Performance of Exponentially Weighted Moving Average Charts With Estimated Parameters (2001)A Single EWMA Chart for Monitoring Process Mean and Process Variance (2006)Exploring the antecedents of organizational resilience practices – A transactive memory systems approach (2020)How to design, implement and evaluate organizational interventions for maximum impact: the Sigtuna Principles (2020)Procedures for Reacting to a Change in Distribution (1971)changepoint : An R Package for Changepoint Analysis (2014)Selective review of offline change point detection methods (2019)A New Hybrid Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean (2012)Homogeneously weighted moving average control chart with an application in substrate manufacturing process (2018)An adaptive multivariate EWMA chart (2018)An improved Bayesian Modified-EWMA location chart and its applications in mechanical and sport industry (2020)An improved process monitoring by mixed multivariate memory control charts: An application in wind turbine field (2020)A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts (1987)Run-Length Distributions of Special-Cause Control Charts for Correlated Processes (1994)An Adaptive Exponentially Weighted Moving Average Control Chart (2003)Quality Control and Industrial Statistics (1988)Enhancing the performance of EWMA charts (2010)Another Look at the EWMA Control Chart with Estimated Parameters (2015)
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References

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  • 2012Mixed Exponentially Weighted Moving Average–Cumulative Sum Charts for Process Monitoring201 cited
  • 1930Economic Quality Control of Manufactured Product 1155 cited
  • 2016Mixed CUSUM-EWMA chart for monitoring process dispersion124 cited
  • 2014Mixed Cumulative Sum–Exponentially Weighted Moving Average Control Charts: An Efficient Way of Monitoring Process Location108 cited
  • 2016Mixed multivariate EWMA-CUSUM control charts for an improved process monitoring64 cited
  • 2021Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: An application in glass field48 cited
  • 1954Control Charts for the Mean of a Normal Population45 cited
  • 2015On increasing the sensitivity of mixed EWMA–CUSUM control charts for location parameter31 cited
  • 2000Some issues in the design of EWMA Charts27 cited
  • 2020On a class of mixed EWMA‐CUSUM median control charts for process monitoring25 cited
  • 2019

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Assorted control charts: An efficient statistical approach to monitor pH values in ecotoxicology lab
19 cited
  • 2023On designing new mixed modified exponentially weighted moving average - exponentially weighted moving average control chart16 cited
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