Geodesic
An approach to constructing explicit estimators in nonlinear regression
Matematičeskie trudy, Tome 26 (2023) no. 2, pp. 177-191

Voir la notice de l'article provenant de la source Math-Net.Ru

We consider the problem of constructing explicit consistent estimators of finite-dimensional parameters of nonlinear regression models using various nonparametric kernel estimators. 
@article{MT_2023_26_2_a8,
     author = {Yu. Yu. Linke and I. S. Borisov},
     title = {An approach to constructing explicit estimators in nonlinear regression},
     journal = {Matemati\v{c}eskie trudy},
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     publisher = {mathdoc},
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     year = {2023},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MT_2023_26_2_a8/}
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Yu. Yu. Linke; I. S. Borisov. An approach to constructing explicit estimators in nonlinear regression. Matematičeskie trudy, Tome 26 (2023) no. 2, pp. 177-191. http://geodesic.mathdoc.fr/item/MT_2023_26_2_a8/