Resumen de Two Nonparametric Control Charts for Detecting Arbitrary Distribution Changes
Geordon J. Ross, Niall M. Adams
When the prechange distribution of a process is unknown, sequential monitoring requires nonparametric control charts that do not assume a specific form for the process distribution but can maintain a specified level of performance. Previous nonparametric Phase II control charts are only able to detect changes in location parameters. This article presents two distribution-free charts that can detect arbitrary changes in process distribution during Phase II monitoring. These charts are created by integrating the omnibus Kolmogorov-Smirnov and Cramer-von-Misees tests with the change-point model framework.
