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Matematicheskie Trudy, 2023, Volume 26, Number 2, Pages 177–191 DOI: https://doi.org/10.33048/mattrudy.2023.26.209
(Mi mt685)
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This article is cited in 3 scientific papers (total in 3 papers)
An approach to constructing explicit estimators in nonlinear regression
Yu. Yu. Linke, I. S. Borisov Sobolev Institute of Mathematics, Novosibirsk, 630090, Russia
DOI:
https://doi.org/10.33048/mattrudy.2023.26.209
Abstract:
We consider the problem of constructing explicit consistent estimators of finite-dimensional parameters of nonlinear regression models using various nonparametric kernel estimators.
Key words:
nonlinear regression, nonparametric regression, kernel estimators, uniform consistency, fixed regressors, random regressors.
Received: 13.07.2023 Revised: 01.10.2023 Accepted: 05.10.2023
Citation:
Yu. Yu. Linke, I. S. Borisov, “An approach to constructing explicit estimators in nonlinear regression”, Mat. Tr., 26:2 (2023), 177–191; Siberian Adv. Math., 33:4 (2023), 338–346
Linking options:
https://www.mathnet.ru/eng/mt685 https://www.mathnet.ru/eng/mt/v26/i2/p177
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| Statistics & downloads: |
| Abstract page: | 150 | | Full-text PDF : | 47 | | References: | 37 |
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