1. A Maximum Likelihood Estimator for Semi-Variogram Parameters in Kriging
- Author
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Federica Pellegrini and Ezio Todini
- Subjects
Bayes estimator ,Efficient estimator ,Bias of an estimator ,Restricted maximum likelihood ,Estimation theory ,Kriging ,Statistics::Methodology ,Applied mathematics ,Likelihood function ,Variogram ,Statistics::Computation ,Mathematics - Abstract
This paper deals with the development of a new Maximum Likelihood (ML) estimator for semi-variogram parameters in ordinary Kriging, based upon the assumption of a multi-normal distribution of the Kriging cross-validation errors. The paper discusses the difference between the proposed ML formulation and previously developed algorithms, showing its advantages, also in view of an approximate analysis of the uncertainty that the semi-variogram parameter estimates may induced on the Kriging estimates.
- Published
- 1999
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