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Applied Mineral Inventory Estimation

Applied Mineral Inventory Estimation
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Applied Mineral Inventory Estimation

 
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NL9780521021821

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Applied Mineral Inventory Estimation presents a comprehensive applied approach to the estimation of mineral resources/reserves with particular emphasis on the geological basis of such estimations, the need for and maintenance of a high quality assay data base, the practical use of comprehensive exploratory data evaluation, and the importance of a comprehensive geostatistical approach to the estimation methodology. Practical problems and real data are used throughout as illustrations. Each chapter ends with a summary of practical concerns, a number of exercises and a short list of references for supplementary study. This textbook is suitable for any university or mining school that offers senior undergraduate and graduate student courses on mineral resource/reserve estimation.

 
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Product Details
Author:Alastair J. Sinclair
Paperback:400 pages
Publisher:Cambridge University Press
Publication Date:January 19, 2006
Language:English
ISBN:0521021820
Product Length:0.97 inches
Product Width:0.74 inches
Product Height:0.08 inches
Product Weight:1.57 pounds
Package Length:9.61 inches
Package Width:7.4 inches
Package Height:1.1 inches
Package Weight:1.9 pounds
Average Customer Rating: based on 2 reviews

Customer Reviews
Average Customer Review:3.0 ( 2 customer reviews )
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7 of 7 found the following review helpful:


5Applied Mineral Inventory Estimation  Aug 20, 2003 By David Abbott
This is an excellent book covering all aspects of the subject including data collection, verification, and analysis along with geostatistics. Good sections on making sure that the statistically derived answers make geologic sense, a most important aspect. Anyone in the mineral inventory estimation field should get a copy.

2 of 10 found the following review helpful:


1Fundamentally Flawed  Jan 06, 2005 By J. W. Merks
This textbook is based on the premise that the true variance of the distance-weighted average can be replaced with the pseudo kriging variance of a set of degrees-of-freedom and variance-deprived functionally dependent kriged estimates. The distance-weighted average was reborn as an honorific kriged estimate but that could not possibly make its variance vanish without a trace. Just another textbook were the requirement of functional independence and the concept of degrees of freedom are ignored with impunity.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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