This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors' software package, geoR, whose usage is illustrated in a computation section at the end of each chapter. The book assumes a working knowledge of classical and Bayesian methods of inference, linear models, and generalized linear models.
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从经典的geostatistics讲到model-based inference，频率和贝叶斯学派都有所涉及，还算是覆盖全面新手友好。不过最大的收获还是在likelihood inference一节发现了好朋友暑研导师的名字。。。
评分从经典的geostatistics讲到model-based inference，频率和贝叶斯学派都有所涉及，还算是覆盖全面新手友好。不过最大的收获还是在likelihood inference一节发现了好朋友暑研导师的名字。。。
评分从经典的geostatistics讲到model-based inference，频率和贝叶斯学派都有所涉及，还算是覆盖全面新手友好。不过最大的收获还是在likelihood inference一节发现了好朋友暑研导师的名字。。。
评分从经典的geostatistics讲到model-based inference，频率和贝叶斯学派都有所涉及，还算是覆盖全面新手友好。不过最大的收获还是在likelihood inference一节发现了好朋友暑研导师的名字。。。
评分17.3 Model-based Geostatistics - Diggle, Peter, Ribeiro, Paulo Justiniano (Springer Series in Statistics, 2007)
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