Asymptotic normality of one-step \(M\)-estimators based on non-identically distributed observations

DOI10.1016/j.spl.2017.05.020zbMath1380.62103OpenAlexW1744416637MaRDI QIDQ1687217

Yuliana Yu. Linke

Publication date: 22 December 2017

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2017.05.020

zbMATH Keywords

nonlinear regressioninitial estimatorone-step \(M\)-estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) General nonlinear regression (62J02)

Related Items

Asymptotic properties of one-step M-estimators ⋮ Asymptotic Properties of One-Step Weighted $M$-Estimators with Applications to Regression ⋮ Toward the notion of intrinsically linear models in nonlinear regression ⋮ Constructing Explicit Estimators in Nonlinear Regression Problems

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