Motivated in part by applications in model selection in statistical genetics and sequential monitoring of financial data, we study an empirical process framework for a class of stopping rules which rely on kernel-weighted averages of past data. We are interested in the asymptotic distribution...

Abstract Many researches have shown that the adaptive control charts are more effective than the traditional static ones in detecting process shifts. This paper develops an algorithm for the optimization designs of the Variable Sample Size ( VSS ) np chart and the Variable Sampling Intervals (...

Abstract This paper compares semi-economic -control charts and -R control charts assuming two different discrete distributions for the length of the in-control period of a production process with regeneration points given by the alarms signals. Sample sizes and control limits for a set of...