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Mineral Resource Estimation Hardcover – 13 Jan 2014

3.0 out of 5 stars 1 customer review

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Product details

  • Hardcover: 332 pages
  • Publisher: Springer; 2014 edition (13 Jan. 2014)
  • Language: English
  • ISBN-10: 1402057164
  • ISBN-13: 978-1402057168
  • Product Dimensions: 2.5 x 21 x 27.3 cm
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 1,124,993 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

From the Back Cover

Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need.

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Top Customer Reviews

Format: Hardcover Verified Purchase
The content is pretty good as I would have expected. However the print quality (especially the images) is not, and I found that disappointing and distracting
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0x98707828) out of 5 stars 5 reviews
1 of 1 people found the following review helpful
HASH(0x984e2bc4) out of 5 stars Offers good, better 23 Aug. 2014
By Jesse DW - Published on Amazon.com
Format: Hardcover
Offers good, better, and best practice guidelines at the end of each chapter. Covers the science behind the art of mineral resource estimation. Recommended.
HASH(0x981c89b4) out of 5 stars Four Stars 10 Feb. 2016
By Ismail Hoxha - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Useful book for estimation of mining reserves
HASH(0x986f3108) out of 5 stars A book that was long overdue for the people in industry 6 Feb. 2015
By Abani Ranjan Samal - Published on Amazon.com
Format: Hardcover Verified Purchase
A wonderful summary.
The only thing that I could not find in the book, but in my wish list is to address the "misconceptions" such as using NN model to evaluate "conditional bias" etc.
HASH(0x98537618) out of 5 stars Five Stars 21 July 2014
By Gilma Ramirez - Published on Amazon.com
Format: Hardcover Verified Purchase
Very good
0 of 1 people found the following review helpful
HASH(0x985b5bf4) out of 5 stars Nothing more than a handy succinct reminder for those who ... 14 July 2014
By Mehrdad - Published on Amazon.com
Format: Hardcover Verified Purchase
Nothing more than a handy succinct reminder for those who know Geostat well !
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