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A Genetic Algorithm Based Modification on the LTS Algorithm for Large Data Sets

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Publication:4906446
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DOI10.1080/03610918.2011.598989zbMath1489.62204OpenAlexW2056902403MaRDI QIDQ4906446

M. Hakan Satman

Publication date: 11 February 2013

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

Full work available at URL: https://doi.org/10.1080/03610918.2011.598989


Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)



Uses Software

  • R
  • robustbase
  • DEoptim
  • GENALG


Cites Work

  • Unnamed Item
  • Unnamed Item
  • A clustering algorithm for identifying multiple outliers in linear regression.
  • BACON: blocked adaptive computationally efficient outlier nominators.
  • Least trimmed squares regression, least median squares regression, and mathematical program\-ming
  • A Re-Weighted Least Squares Method for Robust Regression Estimation
  • Statistical Analysis of Financial Data in S-Plus
  • Using Recursive Residuals, Calculated on Adaptively-Ordered Observations, to Identify Outliers in Linear Regression
  • Masking unmasked
  • New algorithms for computing the least trimmed squares regression estimator
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