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- W1988869319 abstract "Abstract In this article we compare Rosner's (1983) extension of the outlier t test (the generalized ESD procedure) to the boxplot rules, Tukey's (1977) resistant outlier labeling approach. The underlying principles are contrasted, and the behavior of the procedures is compared in a variety of sampling situations. To facilitate power-type comparisons of procedures that are based on different paradigms, the conditional outside rate, a performance criterion for assessing outlier labeling procedures, is introduced. This quantity represents the probability that an observation, yi , is labeled an outlier, conditional on its distance from the center, ε = yi ε μ. Some exact expressions, as well as simple approximations, and a Monte Carlo swindle are developed. The conditional outside rate, together with the outside rate per observation and the some-outside rate per sample, are applied to compare performance of the classical and boxplot rules, based on Monte Carlo simulation of samples of sizes n = 10, 30, and 50 from SLASH contaminated Gaussian distributions. The resistant behavior of the boxplot rules is contrasted with the nonresistant outlier t test. The ESD procedures are then compared with the boxplot rules. Suitably chosen versions of these rules are found to perform in a way similar to boxplot rules in non-Gaussian situations and better in the pure Gaussian case. Relative merits of the two approaches from various other perspectives are also reviewed briefly." @default.
- W1988869319 created "2016-06-24" @default.
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- W1988869319 date "1990-12-01" @default.
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- W1988869319 title "Comparing Classical and Resistant Outlier Rules" @default.
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- W1988869319 doi "https://doi.org/10.1080/01621459.1990.10474979" @default.
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