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Monitoring and Comparing Air and Green House Gases Emissions of Various Countries
16 references·0 citing·42 second hop
Monitoring and Comparing Air and Green House Gases Emissions of Various Countries (2023)Monitoring and Comparing Air and Green Ho…Distribution‐free triple EWMA control chart for monitoring the process location using the Wilcoxon rank‐sum statistic with fast initial response feature (2021)Distribution‐free triple EWMA…Homogeneously weighted moving average control chart with an application in substrate manufacturing process (2018)Homogeneously weighted moving…Nonparametric Double EWMA Control Chart for Process Monitoring (2016)Nonparametric Double EWMA Con…A new exponentially weighted moving average sign chart using repetitive sampling (2014)A new exponentially weighted …Energy and greenhouse gas emissions review for Macao (2013)Energy and greenhouse gas emi…A new CUSUM‐S2 control chart for monitoring the process variance (2009)A new CUSUM‐S2 control chart …Interpreting the out-of-control signal in multivariate control chart — a comparative study (2007)Interpreting the out-of-contr…A NewS2-EWMA Control Chart for Monitoring the Process Variance (2005)A NewS2-EWMA Control Chart fo…MULTIVARIATE CONTROL CHARTS FOR ECOLOGICAL AND ENVIRONMENTAL MONITORING (2004)MULTIVARIATE CONTROL CHARTS F…Evaluating environmental performance using statistical process control techniques (2002)Evaluating environmental perf…A cumulative sum type of method for environmental monitoring (2000)A cumulative sum type of meth…Issues in environmentally conscious manufacturing and product recovery: a survey (1999)Issues in environmentally con…Interactions between operational research and environmental management (1995)Interactions between operatio…A double exponentially weigiited moving average control procedure with variable sampling intervals (1991)A double exponentially weigii…Robust Control Charts (1989)Robust Control ChartsCONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESQuality planning and analysis (1970)Introduction to Statistical Quality Control (1992)Extending the Horizons: Environmental Excellence as Key to Improving Operations (2006)Quality management, environmental management and firm performance: A review of empirical studies and issues of integration (2008)A systematic literature review towards a conceptual framework for integrating sustainability performance into business (2016)Ecologically Sustainable Organizations: An Institutional Approach (1995)Strategic Issues in Product Recovery Management (1995)Quantitative models for reverse logistics: A review (1997)Green supply‐chain management: A state‐of‐the‐art literature review (2007)Sustainable supply chains: An introduction (2007)Quantitative models for sustainable supply chain management: Developments and directions (2013)Introduction to Statistical Quality Control (1992)Nonparametric Control Charts: An Overview and Some Results (2001)Robust Estimation in Multivariate Control Charts for Individual Observations (2003)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Introduction to Quality Engineering (2008)The analytic hierarchy process : planning, priority setting, resource allocation (1980)The Analytic Hierarchy Process (1985)Economic Control of Quality of Manufactured Product. (1932)Quality Control and Industrial Statistics. (1967)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)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)A Survey of Recent Developments in the Design of Adaptive Control Charts (1998)EWMA control charts with variable sample sizes and variable sampling intervals (2001)Monitoring the Coefficient of Variation Using a Variable Sampling Interval Control Chart (2012)Urban energy use and carbon emissions from cities in China and policy implications (2009)Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China (2012)System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China (2012)Energy and carbon intensity: A study on the cross-country industrial shift from China to India and SE Asia (2018)Statistics for Experimenters (1979)An EWMA chart for monitoring the process standard deviation when parameters are estimated (2009)Monitoring the coefficient of variation using a variable sample size control chart (2015)Mixed CUSUM-EWMA chart for monitoring process dispersion (2016)Spatial pattern and ecological analysis (1989)Distribution-free Lepage Type Circular-grid Charts for Joint Monitoring of Location and Scale Parameters of a Process (2016)Robust adaptive multivariate Hotelling's T2 control chart based on kernel density estimation for intrusion detection system (2019)Exponentially weighted moving average—Moving average charts for monitoring the process mean (2020)Efficient Homogeneously Weighted Moving Average Chart for Monitoring Process Mean Using an Auxiliary Variable (2019)A double homogeneously weighted moving average control chart for monitoring of the process mean (2020)A critique of a variety of “memory-based” process monitoring methods (2022)
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References

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  • 1999Issues in environmentally conscious manufacturing and product recovery: a survey1,107 cited
  • 1995Interactions between operational research and environmental management246 cited
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  • 2018Homogeneously weighted moving average control chart with an application in substrate manufacturing process129 cited
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  • 2002Evaluating environmental performance using statistical process control techniques108 cited
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  • 1991A double exponentially weigiited moving average control procedure with variable sampling intervals80 cited
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  • 2009A new CUSUM‐S2 control chart for monitoring the process variance40 cited
  • 2016Nonparametric Double EWMA Control Chart for Process Monitoring39 cited
  • 2007Interpreting the out-of-control signal in multivariate control chart — a comparative study

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34 cited
  • 2021Distribution‐free triple EWMA control chart for monitoring the process location using the Wilcoxon rank‐sum statistic with fast initial response feature26 cited
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