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   <subfield code="a">Some Asymptotic Analysis of Resistant Rules For Outlier Labeling</subfield>
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   <subfield code="c">[John E. Angus]</subfield>
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   <subfield code="a">Previous studies have examined the behavior of outlier detection rules for symmetric distributions that label as &quot;outside” any observations that fall outside the interval [FL - k(Fu - FL), Fu + k(Fu - FL)], where FL and FU are functions of the order statistics estimating the 0.25 and 0.75 quantiles of the distribution underlying the i.i.d. sample. A measure of the performance of this type of rule is the &quot;some-outside rate” per sample computed with respect to a given (usually Gaussian) null distribution. The &quot;some-outside rate” (SOR) per sample is the probability that the sample will contain one or more observations labeled as &quot;outside,” given that the null distribution is the true distribution. In this paper, asymptotic expansions of k = kn as a function of n that guarantee an asymptotically constant, prespecified SOR are given for a variety of symmetric null distributions including the Gaussian, double exponential, logistic, and Cauchy distributions. The main theorem also applies to the case of a nonsymmetric null distribution by slightly modifying the labeling rule.</subfield>
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