Outlier detection in interval data

DOI10.1007/s11634-017-0305-yzbMath1416.62390OpenAlexW2774657753WikidataQ57675531 ScholiaQ57675531MaRDI QIDQ1630889

Peter Filzmoser, Paula Brito, António Pedro Duarte Silva

Publication date: 5 December 2018

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-017-0305-y

zbMATH Keywords

outliersrobust statisticsinterval dataMahalanobis distance

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (3)

An efficient robust automatic clustering algorithm for interval data ⋮ Bivariate elliptical regression for modeling interval-valued data ⋮ Association measures for interval variables

Uses Software

• SODAS
• MAINT.Data
• MVN

Cites Work

• Robust fitting of mixtures using the trimmed likelihood estimator
• Likelihood functions and some maximum likelihood estimators for symbolic data
• Small sample corrections for LTS and MCD
• Dynamic clustering for interval data based on \(L_2\) distance
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• Constrained linear regression models for symbolic interval-valued variables
• Partitional clustering algorithms for symbolic interval data based on single adaptive distances
• Centre and range method for fitting a linear regression model to symbolic interval data
• Maximum trimmed likelihood estimators: a unified approach, examples, and algorithms
• Off the beaten track: a new linear model for interval data
• Distance-based linear discriminant analysis for interval-valued data
• Least Median of Squares Regression
• About Regression Estimators with High Breakdown Point
• Far beyond the classical data models: symbolic data analysis
• Principal component analysis for interval‐valued observations
• Modelling interval data with Normal and Skew-Normal distributions
• Multivariate Outlier Detection With High-Breakdown Estimators
• Bivariate symbolic regression models for interval-valued variables
• Symbolic Data Analysis and the SODAS Software
• An algorithm for information structuring and retrieval
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data
• Discriminant analysis of interval data: an assessment of parametric and distance-based approaches
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