Estimating parameters of polynomial models with errors in variables and no additional information

DOI10.1134/S1990478916030029zbMath1374.62080OpenAlexW2514732103MaRDI QIDQ2959197

E. A. Khaĭlenko, A. Yu. Timofeeva, Vladimir Ivanovich Denisov

Publication date: 9 February 2017

Published in: Journal of Applied and Industrial Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1990478916030029

zbMATH Keywords

maximum likelihoodadaptive methodgeneralized least squaresadjusted least squaresgeneralized lambda distributionmodel with errors in variables

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35) General nonlinear regression (62J02)

Uses Software

• VanHuffel

Cites Work

• Nonlinear errors in variables estimation of some Engel curves
• Estimation of nonlinear models with Berkson measurement errors
• Polynomial Regression With Errors in the Variables
• Alternatives to the Median Absolute Deviation
• Nonparametric Identification and Semiparametric Estimation of Classical Measurement Error Models Without Side Information
• Estimation of Nonlinear Models with Measurement Error
• Robust estimation of nonlinear structural models
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