A new non-parametric detector of univariate outliers for distributions with unbounded support

DOI10.1007/S10687-017-0295-3OpenAlexW2962861553MaRDI QIDQ1693607

Jean-Marc Bardet, Solohaja-Faniaha Dimby

Publication date: 31 January 2018

Published in: Extremes (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1509.02473

zbMATH Keywords

order statisticsHill estimatoroutlier detectionnon-parametric test

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Order statistics; empirical distribution functions (62G30) Statistics of extreme values; tail inference (62G32)

Uses Software

• LOF

Cites Work

• Detecting influential data points for the Hill estimator in Pareto-type distributions
• An adjusted boxplot for skewed distributions
• A simple general approach to inference about the tail of a distribution
• Outlier..........s
• Rational Chebyshev Approximations for the Inverse of the Error Function
• Statistics of Extremes
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