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Spatial prediction using bivariate exponential distribution

机译:使用二元指数分布的空间预测

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In this paper, a certain bivariate exponential distribution is used for the spatial prediction. The unobserved random variable is predicted by the projection onto the space of all linear combinations of the powers, up to degree m, of the observed random variables plus the constant 1. We obtain a solution by assuming that all the bivariate distributions follow Gumbel's type III or logistic form of bivariate exponential. The method is implemented on two data sets and the results are presented. The predictions are compared with the original values through Mean Structural Similarity (MSSIM) index of Wang et al. (IEEE Trans Image Process 13(4):600-612,2004). Using the MSSIM index the proposed method is also compared with Ordinary Kriging and with Simple Kriging after normal score transform.
机译:在本文中,将一定的二元指数分布用于空间预测。未观察到的随机变量是通过将所观察到的随机变量加上常数1的所有幂的线性组合投影到空间上进行预测的,直至度为m。我们通过假设所有二元分布均遵循Gumbel类型III来获得一个解。或双变量指数的逻辑形式。该方法在两个数据集上实现,并给出了结果。通过Wang等人的平均结构相似度(MSSIM)指数将预测结果与原始值进行比较。 (IEEE Trans Image Process 13(4):600-612,2004)。使用MSSIM索引,将所提出的方法也与普通Kriging和普通Kriging转换后的Simple Kriging进行了比较。

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