GENERALIZED COVARIANCE FUNCTIONS IN ESTIMATION

被引：67

作者：

KITANIDIS, PK

机构：

[1] Civil Engineering, Stanford University, Stanford, 94305-4020, California

来源：

MATHEMATICAL GEOLOGY | 1993年 / 25卷 / 05期

关键词：

GEOSTATISTICS; LINEAR MODEL; BEST LINEAR UNBIASED ESTIMATION; EXPERIMENTAL VARIOGRAM; RESTRICTED MAXIMUM LIKELIHOOD;

D O I：

10.1007/BF00890244

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

I discuss the role of generalized covariance functions in best linear unbiased estimation and methods for their selection. It is shown that the experimental variogram (or covariance function) of the detrended data can be used to obtain a preliminary estimate of the generalized covariance function without iterations and I discuss the advantages of other parameter estimation methods.

引用

页码：525 / 540

页数：16

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