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Partially Functional Linear Models with Linear Process Errors

In this paper, we focus on the partial functional linear model with linear process errors deduced by not necessarily independent random variables. Based on Mercer’s theorem and Karhunen–Loève expansion, we give the estimators of the slope parameter and coefficient function in the model, establish th...

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Detalles Bibliográficos
Principais autores: Yanping Hu, Zhongqi Pang
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2023-08-01
Series:Mathematics
Assuntos:
Acceso en liña:https://www.mdpi.com/2227-7390/11/16/3581
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