An approach to constructing explicit estimators in nonlinear regression Full article
| Journal |
Siberian Advances in Mathematics
ISSN: 1055-1344 , E-ISSN: 1934-8126 |
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| Output data | Year: 2023, Volume: 33, Number: 4, Pages: 338-346 Pages count : 9 DOI: 10.1134/S1055134423040065 | ||
| Tags | nonlinear regression, nonparametric regression, kernel estimators, uniform consistency, fixed regressors, random regressors | ||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Sobolev Institute of Mathematics | FWNF-2022-0015 |
Abstract:
We consider the problem of constructing explicit consistent estimators of finitedimensional parameters of nonlinear regression models using various nonparametric kernel estimators.
Cite:
Linke Y.Y.
, Borisov I.S.
An approach to constructing explicit estimators in nonlinear regression
Siberian Advances in Mathematics. 2023. V.33. N4. P.338-346. DOI: 10.1134/S1055134423040065 Scopus РИНЦ OpenAlex
An approach to constructing explicit estimators in nonlinear regression
Siberian Advances in Mathematics. 2023. V.33. N4. P.338-346. DOI: 10.1134/S1055134423040065 Scopus РИНЦ OpenAlex
Original:
Линке Ю.Ю.
, Борисов И.С.
Об одном подходе к построению явных оценок в задачах нелинейной регрессии
Математические труды. 2023. Т.26. №2. С.177-191. DOI: 10.33048/mattrudy.2023.26.209
Об одном подходе к построению явных оценок в задачах нелинейной регрессии
Математические труды. 2023. Т.26. №2. С.177-191. DOI: 10.33048/mattrudy.2023.26.209
Dates:
| Submitted: | Jun 25, 2023 |
| Accepted: | Jul 20, 2023 |
| Published print: | Dec 14, 2023 |
| Published online: | Dec 14, 2023 |
Identifiers:
| Scopus: | 2-s2.0-85179666799 |
| Elibrary: | 65433164 |
| OpenAlex: | W4389735967 |