Abstract
Theoretical background of sampling errors explained including detailed analysis of the types of the errors and the factors causing them. A special attention is paid to Fundamental Sampling Error (FSE) which can be estimated and used for establishing optimal sampling procedures (sampling protocols) at the studied project.
Notes
- 1.
Lot – batch of material assumed to be a single entity from which the samles are taken.
References
Abzalov MZ (2007) Granitoid hosted Zarmitan gold deposit, Tian Shan belt, Uzbekistan. Econ Geol 102(3):519–532
Abzalov MZ (2009) Use of twinned drill – holes in mineral resource estimation. Exp Min Geol J 18(1–4):13–23
Abzalov MZ, Humphreys M (2002) Resource estimation of structurally complex and discontinuous mineralisation using non-linear geostatistics: case study of a mesothermal gold deposit in northern Canada. Exp Min Geol J 11(1–4):19–29
Abzalov MZ, Menzel B, Wlasenko M, Phillips J (2010) Optimisation of the grade control procedures at the Yandi iron-ore mine, Western Australia: geostatistical approach. App Earth Sci 119(3):132–142
Abzalov MZ, Dumouchel J, Bourque Y, Hees F, Ware C (2011) Drilling techniques for estimation resources of the mineral sands deposits. In: Proceedings of the heavy minerals conference 2011. AusIMM, Melbourne, pp 27–39
Bartlett HE, Viljoen R (2002) Variance relationships between masses, grades, and particle sizes for gold ores from Witwatersrand. J South Afr Inst Min Metall 102(8):491–500
De Castilho MV, Mazzoni PKM, Francois-Bongarcon D (2005) Calibration of parameters for estimating sampling variance. In: Proceedings – second world conference on sampling and blending. AusIMM, Melbourne, pp 3–8
Francois-Bongarcon D (1991) Geostatistical determination of sample variance in the sampling of broken ore. CIM Bull 84(950):46–57
Francois-Bongarcon D (1993) The practise of the sampling theory of broken ore. CIM Bull 86(970):75–81
Francois-Bongarcon D (1998) Error variance information from paired data: application to sampling theory. Exp Min Geol J 7(1–2):161–165
Francois-Bongarcon D (2005) Modelling of the liberation factor and its calibration. In: Proceedings second world conference on sampling and blending. AusIMM, Melbourne, pp 11–13
Francois-Bongarcon D, Gy P (2001) The most common error in applying ‘Gy’s formula’ in the theory of mineral sampling, and the history of the liberation factor. In: Edwards A (ed) Mineral resources and ore reserve estimation – the AusIMM guide to good practise. AusIMM, Melbourne, pp 67–72
Gy P (1979) Sampling of particulate materials, theory and practice. Developments in Geomathematics 4. Elsevier, Amsterdam, p 431
Minkkinen P, Paakkunainen M (2005) Direct estimation of sampling variance from time series measurements – comparison to variographic analysis. In: Proceedings – second world conference on sampling and blending. AusIMM, Melbourne, pp 39–44
Minnitt RCA, Rice PM, Spangenberg C (2007) Part 2: Experimental calibration of sampling parameters K and alfa for Gy’s formula by the sampling tree method. J South Afr Min Metall 107:513–518
Pitard FF (1993) Pierre Gy’s sampling theory and sampling practise, 2nd edn. CRC Press, New York, p 488
Pitard FF (2005) Sampling correctness – comprehensive guidelines. In: Proceedings – second world conference on sampling and blending. AusIMM, Melbourne, pp 55–66
Sketchley DA (1998) Gold deposits: establishing sampling protocols and monitoring quality control. Exp Min Geol 7(1–2):129–138
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Abzalov, M. (2016). Introduction to the Theory of Sampling. In: Applied Mining Geology. Modern Approaches in Solid Earth Sciences, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-39264-6_9
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