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Titlebook: Basic Linear Geostatistics; Margaret Armstrong Textbook 1998 Springer-Verlag Berlin Heidelberg 1998 3D.Estimator.Fitting.Kriging.Regressio

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發(fā)表于 2025-3-21 18:48:51 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Basic Linear Geostatistics
影響因子2023Margaret Armstrong
視頻videohttp://file.papertrans.cn/182/181058/181058.mp4
發(fā)行地址Reviews underlying theory in more detail than other books * Links theory to applications *.Based on a postgraduate course * A set of exercises is integrated into the text
圖書封面Titlebook: Basic Linear Geostatistics;  Margaret Armstrong Textbook 1998 Springer-Verlag Berlin Heidelberg 1998 3D.Estimator.Fitting.Kriging.Regressio
影響因子Linear Geostatistics covers basic geostatistics from the underlying statistical assumptions, the variogram calculation and modelling through to kriging. The underlying philosophy is to give the students an indepth understanding of the relevant theory and how to put it into practice. This means going into the theory in more detail than most books do, and also linking it with applications. It is assumed that readers, students and professionals alike, are familiar with basic probability and statistics, and matrix algebra needed for solving linear systems. Some reminders on these are given in an appendix at the end of the book. A set of exercises is integrated into the text.
Pindex Textbook 1998
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沙發(fā)
發(fā)表于 2025-3-21 22:53:33 | 只看該作者
Experimental Variograms,t models to them. Several exercises are provided. The practical problems encountered with troublesome experimental variograms are discussed. These include outliers, almost regularly spaced data, and so on.
板凳
發(fā)表于 2025-3-22 00:29:02 | 只看該作者
Case Study using Kriging,oint values then block grades. As the model has a high nugget effect, a large kriging neighbourhood is required. The fourth section shows what happens when smaller neighbourhoods are used. The last section illustrates why it is not advisable to krige small blocks from sparse samples, in order to calculate the recoverable reserves.
地板
發(fā)表于 2025-3-22 06:24:33 | 只看該作者
https://doi.org/10.1007/978-3-642-58727-63D; Estimator; Fitting; Kriging; Regression; Variance; best fit; calculus; digital elevation model; linear re
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978-3-540-61845-4Springer-Verlag Berlin Heidelberg 1998
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Europe in the History of Humanityd for good estimators, particularly when selective mining is being used. The economic impact of the support and information effects on reserve calculations is stressed. Lastly some case studies comparing geostatistics with other estimation methods are reviewed.
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Herder Jahrbuch - Herder Yearbook 2002oint values then block grades. As the model has a high nugget effect, a large kriging neighbourhood is required. The fourth section shows what happens when smaller neighbourhoods are used. The last section illustrates why it is not advisable to krige small blocks from sparse samples, in order to calculate the recoverable reserves.
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