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Geostatistical ore reserve estimation /
Geostatistical Ore Reserve Estimation.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York : New York :
Elsevier Scientific Pub. Co. ; Distributors for the U.S.A. and Canada, Elsevier/North-Holland,
1977.
|
| Colección: | Developments in geomathematics ;
2. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 003 | OCoLC | ||
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| 020 | |a 9780444415325 |q (electronic bk.) | ||
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| 100 | 1 | |a David, Michel, |d 1945- | |
| 245 | 1 | 0 | |a Geostatistical ore reserve estimation / |c by Michel David. |
| 260 | |a Amsterdam ; |a New York : |b Elsevier Scientific Pub. Co. ; |a New York : |b Distributors for the U.S.A. and Canada, Elsevier/North-Holland, |c 1977. | ||
| 300 | |a 1 online resource (xix, 364 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Developments in geomathematics ; |v 2 | |
| 504 | |a Includes bibliographical references (pages 347-356) and index. | ||
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2010 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Geostatistical ORE Reserve Estimation; Copyright Page; Preface; Introduction; Table of Contents; List of notations; List of abbreviations; CHAPTER 1. ELEMENTARY STATISTICAL THEORY AND APPLICATIONS; 1.1 The vocabulary of statistics in mineral resources estimation; 1.2 A few lines of theory; 1.3 Theoretical models of distributions; 1.4 Independent random variables and dependent random variables; 1.5 Correlation and regression; 1.6 Computational remarks on variances and covariances; CHAPTER 2. CONTRIBUTION OF DISTRIBUTIONS TO MINERAL RESERVES PROBLEMS | |
| 505 | 8 | |a 2.1 The precision of a sampling campaign and prediction of the effect of further sampling2.2 The recovery of ore and metal for a given cut-off; 2.3 Exercises on grade-tonnage curves; 2.4 Conclusion; CHAPTER 3. WHAT IS AN ORE RESERVE CALCULATION?; 3.1 Estimation problems during a mine life; 3.2 What is an ore reserve estimation?; 3.3 Geological features and magnitude of the error; 3.4 The origin and credentials of geostatistics; CHAPTER 4. WHAT IS A VARIOGRAM?; 4.1 Spatial correlation; 4.2 Definition of the variogram; 4.3 The variogram as a geological features descriptor | |
| 505 | 8 | |a 4.4 The variogram as the fundamental function in error computations4.5 Conclusion; 4.6 Exercises; 4.7 Computing an isotropic variogram; 4.8 An alternate variable to the grade: the accumulation; CHAPTER 5. THEORETICAL BASIS OF THE APPROACH: THE THEORY OF REGIONALIZED VARIABLES; 5.1 Foreword; 5.2 Definition of a regionalized variable; 5.3 Three plausible hypotheses; 5.4 Linear combinations and average values; 5.5 Theoretical expression o f variances; 5.6 The nugget effect Co; 5.7 Theoretical models of isotropic variograms; 5.8 How close is the intrinsic hypothesis to reality? | |
| 505 | 8 | |a CHAPTER 6. THE PRACTICE OF VARIOGRAM MODELLING6.1 Definition of the general problem; 6.2 Solving problems in one dimension; 6.3 Solving problems in two dimensions; 6.4 Solving problems in three dimensions; CHAPTER 7. THE EFFECTIVE COMPUTATION OF BLOCK VARIANCES; 7.1 Block grade variances; 7.2 Numerical examples; 7.3 Computing the charts; 7.4 A general program; CHAPTER 8. COMPUTING ESTIMATION VARIANCES: PRECISION PROBLEMS; 8.1 Foreword; 8.2 Exercise: The estimation variance of a block from a set of samples; 8.3 Simplifying principles: composition of variances; 8.4 Exercises | |
| 505 | 8 | |a 8.5 Simultaneous estimation of several variables8.6 Examples; CHAPTER 9. OPTIMIZATION OF THE GRADE ESTIMATION: KRIGING; 9.1 The general problem and its solution; 9.2 Particular cases and examples; 9.3 Krige's kriging, correction factors and actual kriging; 9.4 More properties of kriging; 9.5 Conclusion: implementing kriging; 9.6 Kriging in presence of a drift: universal kriging; CHAPTER 10. THE PRACTICE OF KRIGING; 10.1 Writing an efficient kriging program; 10.2 The design of kriging plans; 10.3 More applications o f kriging | |
| 520 | |a Geostatistical Ore Reserve Estimation. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Mine valuation |x Statistical methods. | |
| 650 | 0 | |a Mines and mineral resources |x Statistical methods. | |
| 650 | 6 | |a Mines |x �Evaluation |x M�ethodes statistiques. |0 (CaQQLa)201-0262701 | |
| 650 | 6 | |a Mines |0 (CaQQLa)201-0276305 |x M�ethodes statistiques. |0 (CaQQLa)201-0373903 | |
| 650 | 6 | |a Ressources min�erales |0 (CaQQLa)201-0276233 |x M�ethodes statistiques. |0 (CaQQLa)201-0373903 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Mining. |2 bisacsh | |
| 650 | 7 | |a Mine valuation |x Statistical methods. |2 fast |0 (OCoLC)fst01022189 | |
| 650 | 7 | |a Mines and mineral resources |x Statistical methods. |2 fast |0 (OCoLC)fst01022618 | |
| 650 | 7 | |a Mines et ressources mini�eres. |2 ram | |
| 650 | 7 | |a G�eostatistique. |2 ram | |
| 776 | 0 | 8 | |i Print version: |a David, Michel, 1945- |t Geostatistical ore reserve estimation. |d Amsterdam ; New York : Elsevier Scientific Pub. Co. ; New York : Distributors for the U.S.A. and Canada, Elsevier/North-Holland, 1977 |w (DLC) 76039808 |w (OCoLC)2507952 |
| 830 | 0 | |a Developments in geomathematics ; |v 2. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780444415325 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/bookseries/01675982 |z Texto completo |