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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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Bibliografische gegevens
Hoofdauteurs: Yanping Hu, Zhongqi Pang
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2023-08-01
Reeks:Mathematics
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Online toegang:https://www.mdpi.com/2227-7390/11/16/3581
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