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Generating Spatial Correlated Binary Data Through a Copulas Method
Science Research
Volume 3, Issue 4, August 2015, Pages: 206-212
Received: Jul. 5, 2015; Accepted: Jul. 16, 2015; Published: Jul. 25, 2015
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Authors
Renhao Jin, School of Information, Beijing Wuzi University, Beijing, China
Sha Wang, School of Information, Beijing Wuzi University, Beijing, China
Fang Yan, School of Information, Beijing Wuzi University, Beijing, China
Jie Zhu, School of Information, Beijing Wuzi University, Beijing, China
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Abstract
Simulating spatial correlated binary data is very important on many cases, but it is not easily to accomplish, as there are restrictions on the parameters of Bernoulli variables. This paper develops a copulas method to generate spatial correlated binary data. The spatial binary data generated by this method has an inverse spatial pattern comparing with the latent Gaussian random field data, however they have similar empirical variograms, although the closed form for the spatial correlation is not available specifically.
Keywords
Spatial Binary Data, Copulas, Simulation, Variogram
To cite this article
Renhao Jin, Sha Wang, Fang Yan, Jie Zhu, Generating Spatial Correlated Binary Data Through a Copulas Method, Science Research. Vol. 3, No. 4, 2015, pp. 206-212. doi: 10.11648/j.sr.20150304.18
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