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Christian Lantuejoul - Geostatistical Simulation - 9783540422020 - V9783540422020
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Geostatistical Simulation

€ 128.96
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Description for Geostatistical Simulation Hardback. This text deals with the estimation of natural resources using a Monte Carlo methodology. It includes a set of tools to describe the morphological, statistical and stereological properties of spatial random models, and presents a wide range of spatial models, including random sets and functions. Num Pages: 269 pages, 156 black & white illustrations, 76 colour illustrations, 5 black & white tables, biograp. BIC Classification: PHVG; RB; RGY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 152 x 14. Weight in Grams: 635.
1. 1 Simulation versus estimation The following problem was raised by Alfaro (1979). A submarine cable has to be laid across the straits of Gibraltar. How can its length be predicted if the depth of the sea floor has been measured sparsely along its trajectory? Fig. 1. 1. Part of the actual trajectory and sample data points An exact determination of the length requires knowledge of the depth at each point of the trajectory. But these are mostly unknown. In a geostatistical set­ ting, they are considered as random and can be estimated by linear regression starting from the available ... Read more

Product Details

Format
Hardback
Publication date
2001
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
269
Condition
New
Number of Pages
256
Place of Publication
Berlin, Germany
ISBN
9783540422020
SKU
V9783540422020
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Geostatistical Simulation
From the reviews of the first edition: "Geostatistical simulations have mainly been developed during the last decade. … this is the first book that is entirely dedicated to this subject. … it has been a good initiative by C. Lantuéjoul to compile this book and it will become a basic reference work, partly because it ... Read more

Goodreads reviews for Geostatistical Simulation


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