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Sequential Signals on a Control Chart Based on Nonparametric Statistical Tests

  • Olgierd Hryniewicz
  • Anna Szediw
Chapter

Summary

The existence of dependencies between consecutive observations of a process makes the usage of SPC tools much more complicated. In order to avoid unnecessary costs we need to have simple tools for the discrimination between correlated and uncorrelated process data. In the paper we propose a new control chart based on Kendall’s tau statistic which can be used for this purpose. In case of normally distributed observations with dependence of an autoregressive type the proposed Kendall control chart is nearly as good as a well known autocorrelation chart, but outperforms this chart when these basic assumptions are not fulfilled.

Keywords

Control Chart Marginal Distribution Statistical Process Control Bivariate Normal Distribution Consecutive Observation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2010

Authors and Affiliations

  1. 1.Systems Research InstituteWarsawPoland

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