ON THE STABILITY OF THE GEOSTATISTICAL METHOD

被引：25

作者：

CRESSIE, N ^{[1
]}

ZIMMERMAN, DL ^{[1
]}

机构：

[1] UNIV IOWA,DEPT STAT & ACTUARIAL SCI,IOWA CITY,IA 52242

来源：

MATHEMATICAL GEOLOGY | 1992年 / 24卷 / 01期

关键词：

KRIGING; MEAN SQUARED PREDICTION ERROR; RESISTANCE; ROBUSTNESS; SPATIAL DEPENDENCE; SPATIAL PREDICTION; TREND; VARIOGRAM;

D O I：

10.1007/BF00890087

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

A thorough geostatistical analysis of spatial data, observed at given spatial locations, includes exploratory data analysis, spatial-model building, diagnosing the model fit, and inference on unknown model parameters or unobserved values (at known locations). Using results from mathematical analysis, exact and asymptotic distribution theory, and simulation studies, we argue that, when used sensibly, the geostatistical method is reassuringly stable.

引用

页码：45 / 59

页数：15

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