Spatial Interpolation Using Copula for non-Gaussian Modeling of Rainfall Data

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

‎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 capture 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 Iranchr('39')s Khuzestan province‎.

Language:
English
Published:
Journal of Iranian Statistical Society, Volume:17 Issue: 2, 2018
Pages:
165 to 179
https://www.magiran.com/p2169520  
سامانه نویسندگان
  • Author (2)
    Mohsen Mohammadzadeh
    Professor Department of Statistics, Tarbiat Modares University, Tehran, Iran
    Mohammadzadeh، Mohsen
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