Volume 18, Issue 2 (12-2019)                   JIRSS 2019, 18(2): 115-137 | Back to browse issues page

DOI: 10.29252/jirss.18.2.115


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Department of Statistics, Faculty of Science, Fasa University, Fasa, Iran. , nasirzadeh roya@yahoo.com
Abstract:   (524 Views)
This paper introduces a functional mixed effect random model to model spatial data. In this model, the spatial locations form the index set, while the contributing effects to the response variable are set as a linear mixture of fixed and random effects. These fixed and random effects are linear combinations of L2 functions and random elements, respectively. However, the corresponding linear factors depend on the spatial location variable. Therefore, we develop estimation procedures to estimate the fixed and random coefficients, using spatial functional principal component analysis. Then, we perform prediction by adapting the functional universal kriging method to our model.
Full-Text [PDF 3400 kb]   (75 Downloads)    
Type of Study: Original Paper | Subject: 60Kxx: Special processes
Received: 2018/01/11 | Accepted: 2019/05/31 | Published: 2019/10/26