A novel adaptive Exponentially Weighted Moving Average scheme, called AEWMA3, is suggested for monitoring the stability of a linear relationship between a quality characteristic and an explanatory variable. Comparisons with an analogous non-adaptive scheme points to a better overall performance of the suggested scheme in a variety of out-of-control scenarios. In addition, since a single AEWMA3 chart is able to quickly detect both small and large shifts, its practical design is simpler than that of other competing control charts.
Linear Profile Monitoring using an Adaptive EWMA Control Chart
CAPIZZI, GIOVANNA;MASAROTTO, GUIDO
2010
Abstract
A novel adaptive Exponentially Weighted Moving Average scheme, called AEWMA3, is suggested for monitoring the stability of a linear relationship between a quality characteristic and an explanatory variable. Comparisons with an analogous non-adaptive scheme points to a better overall performance of the suggested scheme in a variety of out-of-control scenarios. In addition, since a single AEWMA3 chart is able to quickly detect both small and large shifts, its practical design is simpler than that of other competing control charts.File in questo prodotto:
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