A BAYESIAN-ANALYSIS OF KRIGING

被引:375
作者
HANDCOCK, MS [1 ]
STEIN, ML [1 ]
机构
[1] UNIV CHICAGO,DEPT STAT,CHICAGO,IL 60637
关键词
BAYESIAN STATISTICS; INTERPOLATION; ROBUSTNESS; SPATIAL STATISTICS;
D O I
10.2307/1270273
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This article is concerned with predicting for Gaussian random fields in a way that appropriately deals with uncertainty in the covariance function. To this end, we analyze the best linear unbiased prediction procedure within a Bayesian framework. Particular attention is paid to the treatment of parameters in the covariance structure and their effect on the quality, both real and perceived, of the prediction. These ideas are implemented using topographical data from Davis.
引用
收藏
页码:403 / 410
页数:8
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