Estimation for spatial semi-functional partial linear regression model with missing response at random

The aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR). The estimators are constructed using the kernel method, and some asymptotic properties, such as the probability convergence rates of the nonparametri...

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書誌詳細

出版年:	Demonstratio Mathematica
主要な著者:	Benchikh Tawfik, Almanjahie Ibrahim M., Fetitah Omar, Attouch Mohammed Kadi
フォーマット:	論文
言語:	英語
出版事項:	De Gruyter 2025-03-01
主題:	missing at random data functional data analysis asymptotic normality spatial data kernel regression method 62h12 62g07 62g35 62g20
オンライン･アクセス:	https://doi.org/10.1515/dema-2025-0108