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Association Characteristics in Spatial Statistics



Andrew L. Rukhin


A coefficient of association for two spatial sequences is suggested. Some properties of this characteristic are discussed. By using the Central Limit Theorem for stationary random fields its limiting asymptotic normality is derived for any error distribution admitting finite fourth moment. Several examples of moving averages models and autoregression models are presented.
Mathematical Methods of Statistics


autoregression, correlation, cross-variogram, moving averages, similarity, time series


Rukhin, A. (2006), Association Characteristics in Spatial Statistics, Mathematical Methods of Statistics, [online], (Accessed July 12, 2024)


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Created September 12, 2006, Updated February 17, 2017