Fishy samples: how big a sample to avoid the infamous ?Poisson effect??

The Southern African Institute of Mining and Metallurgy
D. Francois-Bongarcon
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
4
File Size:
1022 KB
Publication Date:
Jan 1, 2009

Abstract

The ?Poisson effect? is defined and characterized. It takes place even when the material to sample is not liberated. Gy, Pitard, Ingamells, and others, including the author, recommend that a minimum average number of particles of mineral of interest characterize the recommended sample size. How many? Recommended numbers range from 6 to 40 particles depending on authors, corresponding to standard deviations of 41% to 16%. Some guidelines are proposed, and the often alleged ?double-Poisson? effect is examined.
Citation

APA: D. Francois-Bongarcon  (2009)  Fishy samples: how big a sample to avoid the infamous ?Poisson effect??

MLA: D. Francois-Bongarcon Fishy samples: how big a sample to avoid the infamous ?Poisson effect??. The Southern African Institute of Mining and Metallurgy, 2009.

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