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Omidi M, Mohammadzadeh M. Spatial Interpolation Using Copula for non-Gaussian Modeling of Rainfall Data. JIRSS. 2018; 17 (2)
URL: http://jirss.irstat.ir/article-1-462-fa.html
Spatial Interpolation Using Copula for non-Gaussian Modeling of Rainfall Data. پژوهشنامه انجمن آمار ایران. 1397; 17 (2)

URL: http://jirss.irstat.ir/article-1-462-fa.html


چکیده:   (557 مشاهده)
‎One of the most useful tools for handling multivariate distributions of dependent variables in terms of their marginal distribution is a copula function‎. ‎The copula families captured a fair amount of attention due to their applicability and flexibility in describing the non-Gaussian spatial dependent data‎. ‎The particular properties of the spatial copula are rarely seen in all the known copula families‎. ‎In the present paper‎, ‎based on the weighted geometric mean of two Max-id copulas family‎, ‎the spatial copula function is provided‎. ‎Afterwards‎, ‎the proposed copula‎, ‎along with the Bees algorithm is used to explore the spatial dependency and to interpolate the rainfall data in Iran's Khuzestan province‎. 
     
نوع مطالعه: Original Paper | موضوع مقاله: 60Exx: Distribution theory
دریافت: ۱۳۹۶/۶/۱۳ | پذیرش: ۱۳۹۶/۱۱/۱۶ | انتشار: ۱۳۹۶/۱۱/۱۶

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