A Class of Variogram Matrices for Vector Random Fields in Space and/or Time

被引：5

作者：

Ma, Chunsheng ^{[1
]}

机构：

[1] Wichita State Univ, Dept Math & Stat, Wichita, KS 67260 USA

来源：

MATHEMATICAL GEOSCIENCES | 2011年 / 43卷 / 02期

关键词：

Cross variogram; Direct variogram; Gaussian random field; Second-order increment; Variogram; Variogram matrix; CROSS-VARIOGRAMS; COVARIANCE; FRAMEWORK; MODELS;

D O I：

10.1007/s11004-010-9310-9

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper studies vector (multivariate, multiple, or multidimensional) random fields in space and/or time with second-order increments, for which the variogram matrix is an important tool to measure the dependence within each component and between each pair of distinct components. We introduce an efficient approach to construct Gaussian or non-Gaussian vector random fields from the univariate random field with higher dimensional index domain, and particularly to generate a class of variogram matrices.

引用

页码：229 / 242

页数：14

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