Genetic algorithms for outlier detection in multiple regression with different information criteria

DOI10.1080/00949650903136782zbMath1206.62126OpenAlexW1965062443MaRDI QIDQ3070620

Özlem Gürünlü Alma, Serdar Kurt, Aybars Uğur

Publication date: 3 February 2011

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650903136782

zbMATH Keywords

AICBICICOMPsimultaneous outliers detection

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Approximation methods and heuristics in mathematical programming (90C59) Statistical aspects of information-theoretic topics (62B10)

Related Items (6)

A new correction approach for information criteria to detect outliers in regression modeling ⋮ Outlier detection in statistical modeling via multivariate adaptive regression splines ⋮ Multiple outliers detection in sparse high-dimensional regression ⋮ Forecasting container throughput of Qingdao Port with a hybrid model ⋮ Outlier detection and robust variable selection via the penalized weighted LAD-LASSO method ⋮ The Extent of Gross Errors Eliminated by Robust Multiple Linear Regressions

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