جلد 18، شماره 2 - ( 9-1398 )                   جلد 18 شماره 2 صفحات 115-137 | برگشت به فهرست نسخه ها


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Nasirzadeh R, Mateu J, Soltani A R. On a Linear Functional Mixed Effect Model for Spatial Data. JIRSS. 2019; 18 (2) :115-137
URL: http://jirss.irstat.ir/article-1-490-fa.html
On a Linear Functional Mixed Effect Model for Spatial Data. پژوهشنامه انجمن آمار ایران. 1398; 18 (2) :115-137

URL: http://jirss.irstat.ir/article-1-490-fa.html


چکیده:   (430 مشاهده)
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.
     
نوع مطالعه: Original Paper | موضوع مقاله: 60Kxx: Special processes
دریافت: ۱۳۹۶/۱۰/۲۱ | پذیرش: ۱۳۹۸/۳/۱۰ | انتشار: ۱۳۹۸/۸/۴

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