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- W101532021 abstract "The ubiquitous assumption of normality for modeling spatial and spatio-temporal data can be understood for many reasons. A major one is that the multivariate normal distribution is completely characterized by its first two moments. In addition, the stability of multivariate normal distribution under summation and conditioning offers tractability and simplicity. Gaussian spatial processes are well modeled and understood by the statistical and scientific communities, but for a wide range of environmental applications Gaussian spatial or spatio-temporal models cannot reasonably be fitted to the observations." @default.
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- W101532021 date "2011-10-31" @default.
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- W101532021 title "Modeling Spatial and Spatio-Temporal Non Gaussian Processes" @default.
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