Abstract
Traditionally, geostatistical models are conditioned only on univariate and bivariate statistics such as the sample histogram and covariance or indicator covariances. Higher order sample statistics such as three, four, multi-point covariances, as obtained, for example, from a training image, would improve considerably stochastic images if they could be reproduced.
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© 1993 Kluwer Academic Publishers
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Guardiano, F.B., Srivastava, R.M. (1993). Multivariate Geostatistics: Beyond Bivariate Moments. In: Soares, A. (eds) Geostatistics Tróia ’92. Quantitative Geology and Geostatistics, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1739-5_12
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DOI: https://doi.org/10.1007/978-94-011-1739-5_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-2157-6
Online ISBN: 978-94-011-1739-5
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