Nonparametric Partial Linear Estimation for Spatial Functional Data with Missing At-Random
Tawfik Benchikh,
Ibrahim M. Almanjahie,
Omar Fetitah
et al.
Abstract:The aim of this paper is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random. The estimators are constructed by the kernel method, and some asymptotic properties such as probability convergence rates of the nonparametric component and asymptotic distribution of the parametric and nonparametric components are established under certain conditions. Next, the performances and the superiority of these estimators are presented and examined using a stud… Show more
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