MLREML: A computer program for the inference of spatial covariance parameters by maximum likelihood and restricted maximum likelihood

被引:55
作者
PardoIguzquiza, E
机构
[1] Dept. of Mining and Mineral Eng., University of Leeds
关键词
maximum likelihood; restricted maximum likelihood; spatial variable; drift; stationary covariance;
D O I
10.1016/S0098-3004(97)85438-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Maximum likelihood and restricted maximum likelihood are appealing parametric alternatives to other classical nonparametric methods to estimate the covariance parameters of spatial variables. MLREML, an ANSI FORTRAN-77 computer program which performs both kinds of inference methods is presented. One important characteristic of these methods is that they provide a measure of the uncertainty of the estimates. Two datasets are provided to check the implementation of the program and the results are discussed. (C) 1997 Elsevier Science Ltd.
引用
收藏
页码:153 / 162
页数:10
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