Outlier Detection with Dixon-type (Q) tests

Non-Causal Step

This step detects outliers by comparing a ratio of ranges to an established table of values to determine whether the value in question is an outlier.

Input Parameters

  1. Input data including outliers

Output Parameters

  1. Original data with outliers marked

Workflow

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Algorithm

Dixon Type (Q) Tests

References

    1. Walfish, A review of statistical outlier methods. Pharmaceutical Technology, 2006. Retrieved from www.pharmtech.com.