Geodesic
Constructing explicit estimators in nonlinear regression problems
Teoriâ veroâtnostej i ee primeneniâ, Tome 63 (2018) no. 1, pp. 29-56 Cet article a éte moissonné depuis la source Math-Net.Ru

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In the paper, we propose a general approach to constructing explicit consistent estimators for some classes of nonlinear regression models. These estimators can be used as initial ones in one-step estimation procedures capable of delivering, in a sense, optimal estimators in an explicit form.
Keywords: nonlinear regression, explicit estimator, $\alpha_n$-consistency, asymptotic normality, one-step estimator, initial estimator. 
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Yu. Yu. Linke; I. S. Borisov. Constructing explicit estimators in nonlinear regression problems. Teoriâ veroâtnostej i ee primeneniâ, Tome 63 (2018) no. 1, pp. 29-56. http://geodesic.mathdoc.fr/item/TVP_2018_63_1_a1/

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