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Jeffrey C. Myers - Geostatistical Error Management - 9780471285564 - V9780471285564
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Geostatistical Error Management

€ 199.31
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Description for Geostatistical Error Management Hardcover. Geostatistical Error Management Geostatistical modeling concepts and techniques have become daily practice in mining operations. That's because these precise analytical tools help professionals quantify uncertainty and make objective decisions in the face of thorny "real world" challenges. Num Pages: 572 pages, 300 line drawings. BIC Classification: PBT; RNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 230 x 162 x 42. Weight in Grams: 1004.
Geostatistical Error Management Geostatistical modeling conceptsand techniques have become daily practice in mining operations.That's because these precise analytical tools help professionalsquantify uncertainty and make objective decisions in the face ofthorny "real world" challenges. Geostatistical Error Management isthe first book to apply these proven quantitative tools toenvironmental challenges. The centerpiece of this working guide isan innovative decision-making framework, known as geostatisticalerror management (GEM). GEM integrates the related areas of DataQuality Objectives, Sampling Theory & Practice, andGeostatistical Appraisal to create an entirely new set of toolsthat help you more accurately assess resources for collectingenvironmental data, analyze sources of error in sampling, andquantify ... Read more

Product Details

Format
Hardback
Publication date
1997
Publisher
John Wiley and Sons Ltd United States
Number of pages
572
Condition
New
Number of Pages
596
Place of Publication
New York, United States
ISBN
9780471285564
SKU
V9780471285564
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Jeffrey C. Myers
About the Author Jeffrey C. Myers has over twenty years experience applying geostatistical methods to practical problems in both the mining and environmental industries. His work has included ore reserve estimation on projects involving commodities such as gold, silver, platinum, copper, lead, zinc, uranium, coal, lignite, gypsum, limestone, trona, diatomite, and sand and gravel. He participated in the development of ... Read more

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