Two Nonparametric Control Charts for Detecting Arbitrary Distribution Changes

• Autores: Geordon J. Ross, Niall M. Adams
• Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Vol. 44, Nº. 2, 2012, págs. 102-116
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • 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.