Maximum profitability with minimum risk and effort

Computer Applications in the Minerals Industries

Volumn , Issue , 2001, Pages 45-50

  Richmond, A J ^a  

^a GeoRisk   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL DATASETS;

INDUSTRIAL ECONOMICS; ORES; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT;

MINING ENGINEERING;

EID: 0035786034     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Deutsch, C.V. 1997. Direct assessment of local accuracy and precision, in, Baafi, E.Y. and Schofield, N.A. (Eds), Geostatistics Wollongong '96. Kluwer Academic Publishers, London, pp. 115-125.
2. nd Edition). Oxford University Press, New York, 369p.
3. Glacken, I.C. 1997. Change of support and use of economic parameters for block selection, in, Baafi, E.Y. and Schofield, N.A. (Eds), Geostatistics Wollongong '96. Kluwer Academic Publishers, London, pp. 811-821.
4. Godoy, M., Costa, J.F., Dimitrakopoulos, R., and Koppe, J. 1998. Economic loss functions and geostatistical simulation for grade control applications. Mine to Mill 1998, Brisbane, Australia, pp. 57-62.
5. Isaaks, E.H. 1990. The application of Monte Carlo methods to the analysis of spatially correlated data. PhD thesis, Stanford University, USA, 213p.
6. Journel, A.G. and Deutsch, C.V. 1993. Entropy and spatial disorder. Mathematical Geology, Volume 25, Number 3, pp 329-355.
7. Lane, K.F. 1988. The economic definition of ore. Mining Journel Books, London, 149p.
8. Soares, A. 1992. Geostatistical estimation of multi-phase structures. Mathematical Geology, Volume 24, Number 2, pp 149-160.
9. Srivastava, R.M. 1987. Minimum variance or maximum profitability. Bulletin of the Canadian Institute of Mining, Volume 80, Number 901, pp 63-68.