A maximum adaptive exponentially weighted moving average control chart for monitoring process mean and variability

An efficient adaptive EWMA control chart for monitoring the process mean

(2018) Abdul Haq et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length

(2018) Anan Tang et al.   Quality Technology and Quantitative Management

Information visualization about changes of process mean and variance on (¯x, s) control chart

(2018) Yasuhiko Takemoto et al.   Quality Technology and Quantitative Management

New Synthetic CUSUM and Synthetic EWMA Control Charts for Monitoring the Process Mean using Auxiliary Information

(2017) Abdul Haq   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Run length properties of run rules EWMA chart using integral equations

(2017) Petros E. Maravelakis et al.   Quality Technology and Quantitative Management

The Synthetictand Synthetic EWMAtCharts

(2016) Maria E. Calzada et al.   Quality Technology and Quantitative Management

New Synthetic EWMA and Synthetic CUSUM Control Charts for Monitoring the Process Mean

(2014) Abdul Haq et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Memory-Type Control Charts for Monitoring the Process Dispersion

(2013) Nasir Abbas et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Extended maximum generally weighted moving average control chart for monitoring process mean and variability

(2011) Shey-Huei Sheu et al.   COMPUTERS & INDUSTRIAL ENGINEERING

MDEWMA chart: an efficient and robust alternative to monitor process dispersion

(2011) Saddam Akber Abbasi et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Monitoring Process Mean and Variability with One Double EWMA Chart

(2010) Michael B. C. Khoo et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

New EWMA control charts for monitoring process dispersion

(2010) Longcheen Huwang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

An adaptive exponentially weighted moving average control chart for monitoring process variances

(2008) Lianjie Shu   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION