Boxplot-Based Outlier Detection for the Location-Scale Family

DOI10.1080/03610918.2013.813037zbMath1321.62007OpenAlexW2018815836MaRDI QIDQ5265808

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Publication date: 29 July 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.813037

zbMATH Keywords

order statisticsfencesoutlier identificationboxplotinterquartile range (IQR)semi-interquartile range (SIQR)

Mathematics Subject Classification ID

Graphical methods in statistics (62A09)

Related Items (3)

An Improved Boxplot for Univariate Data ⋮ Patient diversion using real-time delay predictions across healthcare facility networks ⋮ Outlier detection for multivariate skew-normal data: a comparative study

Cites Work

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• A simple more general boxplot method for identifying outliers
• Identifying outliers with sequential fences
• Nonparametric depth-based multivariate outlier identifiers, and masking robustness properties
• Resistant outlier rules and the non-Gaussian case.
• Outlier detection for multivariate skew-normal data: a comparative study
• A Simple Univariate Outlier Identification Procedure Designed for Large Samples
• Exploratory Data Analysis for Possibly Censored Data From Skewed Distributions
• Outlier detection in ARMA models
• Multivariate Outlier Detection With High-Breakdown Estimators

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