Robust construction of regression models based on the generalized least absolute deviations method

DOI10.1007/s10958-006-0380-7zbMath1331.62342OpenAlexW1964320735MaRDI QIDQ5470665

A. N. Tyrsin

Publication date: 31 May 2006

Published in: Journal of Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: http://www.pdmi.ras.ru/znsl/2005/v328.html

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (4)

Improving of the identification algorithm for a quasilinear recurrence equation ⋮ Stable Identification of Linear Autoregressive Model with Exogenous Variables on the Basis of the Generalized Least Absolute Deviation Method ⋮ Nonlinear Filtering of Noisy Contrast Images Based on the Generalized Method of the Least Absolute Values ⋮ Оценивание линейной регрессии на основе обобщенного метода наименьших модулей

Cites Work

• Statistical data analysis based on the \(L_1\)-norm and related methods. With the technical assistance of Giuseppe Melfi. Papers of the 4th international conference on statistical analysis on the \(L_1\)-norm and related methods, Neuchâtel, Switzerland, August 4--9, 2002
• Theory and applications of recent robust methods. Selected papers of the international conference on robust statistics 2003, ICORS 2003, Antwerp, Belgium, July 13--18, 2003.
• Robust Statistics
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