Two Nonparametric Control Charts for Detecting Arbitrary Distribution Changes

  title={Two Nonparametric Control Charts for Detecting Arbitrary Distribution Changes},
  author={Gordon J. Ross and Niall M. Adams},
  journal={Journal of Quality Technology},
  pages={102 - 116}
Most traditional control charts used for sequential monitoring assume that full knowledge is available regarding the prechange distribution of the process. This assumption is unrealistic in many situations, where insufficient data are available to allow this distribution to be accurately estimated. This creates the need for nonparametric charts that do not assume any specific form for the process distribution, yet are able to maintain a specified level of performance regardless of its true… 
Nonparametric Adaptive CUSUM Chart for Detecting Arbitrary Distributional Changes
  • Jun Yu Li
  • Business
    Proceedings of the International Conference on Statistics: Theory and Applications
  • 2019
This paper proposes a new nonparametric adaptive CUSUM chart for detecting arbitrary distributional changes that does not depend on any tuning parameter and is efficient in computation.
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