A novel hybrid robust tapering approach for nonlinear regression in the presence of autocorrelation and outliers

DOI10.1080/03610918.2021.1992435OpenAlexW4200298638MaRDI QIDQ6141735

Unnamed Author, Barış Aşıkgil

Publication date: 23 January 2024

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

Full work available at URL: https://doi.org/10.1080/03610918.2021.1992435

zbMATH Keywords

nonlinear regressionoutlierautocorrelationtaperingrobust modified two-stage least squares

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• High breakdown-point and high efficiency robust estimates for regression
• Generalized Levinson--Durbin and Burg algorithms.
• Polynomial tapered two-stage least squares method in nonlinear regression
• The Performance of Robust Two-Stage Estimator in Nonlinear Regression with Autocorrelated Error
• The Influence Curve and Its Role in Robust Estimation
• Nonlinear Regression with Autocorrelated Errors

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