Abstract
The corpus of theory on non-parametric approaches to outlier testing is not large, and given the strongly parametric nature of the outlier model, this is really not surprising. Most of the results that there are relate to slippage rather than outlier problems. Suppose that we are given X ij , j = 1 to n i , i = 1 to m, n = ∑ n i observations from m groups. Let X i denote an arbitrary observation from population i.
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© 1980 D. M. Hawkins
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Hawkins, D.M. (1980). Non-parametric tests. In: Identification of Outliers. Monographs on Applied Probability and Statistics. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-3994-4_6
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DOI: https://doi.org/10.1007/978-94-015-3994-4_6
Publisher Name: Springer, Dordrecht
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