Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Mohammed Kadi Attouch"'
Publikováno v:
AIMS Mathematics, Vol 8, Iss 7, Pp 15844-15875 (2023)
Traditionally, regression problems are examined using univariate characteristics, including the scale function, marginal density, regression error, and regression function. When the correlation between the response and the predictor is reasonably str
Externí odkaz:
https://doaj.org/article/c8c129d4d34f4501bd7c4efb92a16317
Publikováno v:
AIMS Mathematics, Vol 8, Iss 6, Pp 13000-13023 (2023)
In this paper, we consider a new method dealing with the problem of estimating the scoring function $ \gamma_a $, with a constant $ a $, in functional space and an unknown scale parameter under a nonparametric robust regression model. Based on the $
Externí odkaz:
https://doaj.org/article/f1c10a68c4a8485797566572ca3c37e6
Autor:
Fatimah Alshahrani, Ibrahim M. Almanjahie, Tawfik Benchikh, Omar Fetitah, Mohammed Kadi Attouch
Publikováno v:
Journal of Mathematics, Vol 2023 (2023)
This study investigates the estimation of the regression function using the kernel method in the presence of missing at random responses, assuming spatial dependence, and complete observation of the functional regressor. We construct the asymptotic p
Externí odkaz:
https://doaj.org/article/7be291691c29444c8a90f977718658b0
Publikováno v:
Revstat Statistical Journal, Vol 12, Iss 3 (2014)
In this paper, we study the nonparametric estimator of the conditional hazard function using the k nearest neighbors (k-NN) estimation method for a scalar response variable given a random variable taking values in a semi-metric space. We give the alm
Externí odkaz:
https://doaj.org/article/fc1326140bf44870b919d7078df45e66
Publikováno v:
Computers, Materials & Continua. 74:6307-6319
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c60ef449abe947b937c8fffc29fb32
https://doi.org/10.32604/cmc.2023.033441
https://doi.org/10.32604/cmc.2023.033441
Publikováno v:
Hacettepe Journal of Mathematics and Statistics
We discuss in this paper the robust equivariant nonparametric regression estimators for ergodic data with the k Nearst Neighbour (kNN) method. We consider a new robust regression estimator when the scale parameter is unknown. The principal aim is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0010901a12735975d74da4a479ef90d6
https://doi.org/10.15672/hujms.1100871
https://doi.org/10.15672/hujms.1100871
Publikováno v:
Mathematical Problems in Engineering. 2022:1-15
As in parametric regression, nonparametric kernel regression is essential for examining the relationship between response variables and covariates. In both methods, outliers may affect the estimators, and hence robustness is essential to deal with pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23d6a13c36fcdf62d54c7315f68aa465
https://doi.org/10.1155/2022/8989037
https://doi.org/10.1155/2022/8989037
Publikováno v:
Metrika.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f228b30deaced804b2035dcbd2f435bf
https://doi.org/10.1007/s00184-023-00898-1
https://doi.org/10.1007/s00184-023-00898-1
Publikováno v:
Computers, Materials & Continua. 67:2681-2694
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bd5f6469c0930773d168c45bf9f9f35
https://doi.org/10.32604/cmc.2021.015469
https://doi.org/10.32604/cmc.2021.015469
Publikováno v:
Mathematica Slovaca. 70:1469-1490
In this paper, we investigate the asymptotic properties of a nonparametric estimator of the relative error regression given a functional explanatory variable, in the case of a scalar censored response, we use the mean squared relative error as a loss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08bf7930e25f376bdd9390e7f7d23535
https://doi.org/10.1515/ms-2017-0443
https://doi.org/10.1515/ms-2017-0443