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

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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Bibliographic Details
Main Authors: Benchikh Tawfik, Almanjahie Ibrahim M., Fetitah Omar, Attouch Mohammed Kadi
Format: Article
Language:English
Published: De Gruyter 2025-03-01
Series:Demonstratio Mathematica
Subjects:
missing at random data
functional data analysis
asymptotic normality
spatial data
kernel regression method
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62g07
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Online Access:https://doi.org/10.1515/dema-2025-0108
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https://doi.org/10.1515/dema-2025-0108

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