X charts with variable sampling intervals
Technometrics
CUSUM charts with variable sampling intervals
Technometrics
A control chart based on likelihood ratio test for detecting patterned mean and variance shifts
Computational Statistics & Data Analysis
Phase II monitoring of multivariate simple linear profiles
Computers and Industrial Engineering
Computers and Industrial Engineering
Application of artificial neural networks in linear profile monitoring
Expert Systems with Applications: An International Journal
Multivariate adaptive approach for monitoring simple linear profiles
International Journal of Data Analysis Techniques and Strategies
Multivariate process control for detection and cause identification of location shifts
International Journal of Data Analysis Techniques and Strategies
Multivariate adaptive approach for monitoring simple linear profiles
International Journal of Data Analysis Techniques and Strategies
Multivariate process control for detection and cause identification of location shifts
International Journal of Data Analysis Techniques and Strategies
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A control chart based on the likelihood ratio is proposed for monitoring the linear profiles. The new chart which integrates the EWMA procedure can detect shifts in either the intercept or the slope or the standard deviation, or simultaneously by a single chart which is different from other control charts in literature for linear profiles. The results by Monte Carlo simulation show that our approach has good performance across a wide range of possible shifts. We show that the new method has competitive performance relative to other methods in literature in terms of ARL, and another feature of the new chart is that it can be easily designed. The application of our proposed method is illustrated by a real data example from an optical imaging system.