| 書目名稱 | Model-based Geostatistics |
| 編輯 | Peter J. Diggle,Paulo J. Ribeiro |
| 視頻video | http://file.papertrans.cn/636/635921/635921.mp4 |
| 概述 | The first book-length treatment of model-based geostatistics |
| 叢書名稱 | Springer Series in Statistics |
| 圖書封面 |  |
| 描述 | .Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained at a limited number of spatial locations. The name reflects its origins in mineral exploration, but the methods are now used in a wide range of settings including public health and the physical and environmental sciences. Model-based geostatistics refers to the application of general statistical principles of modeling and inference to geostatistical problems. This volume is the first book-length treatment of model-based geostatistics...The authors have written an expository text, 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‘ R-based 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, but does not require p |
| 出版日期 | Book 2007 |
| 關(guān)鍵詞 | environment; generalized linear model; geostatistics; mineral; model-based; modelling; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-48536-2 |
| isbn_softcover | 978-1-4419-2193-2 |
| isbn_ebook | 978-0-387-48536-2Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Springer-Verlag New York 2007 |
|Archiver|手機版|小黑屋|
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