Sampling Column

What is the meaning of analysing any sample if it cannot be documented to be representative? The answer is “none”, and that is the reason for this column. Starting with the Theory of Sampling, it will build into a valuable resource covering the theory and practice of representative sampling.

The Sampling Column is edited by:

Kim-EsbensenKim H. Esbensen
originally trained as a geologist/geochemist, but it was 30 years before he actually worked in a geoscience institution (The Geological Survey of Denmark and Greenland). In-between he established two research groups dealing with PAT and chemometrics. He found a third love, scientifically speaking, some 15 years ago, when he met the Theory of Sampling (TOS), and the field of representative sampling has occupied his career ever since. Kim is specifically interested in the interaction between process—and material heterogeneity, representative sampling and augmented measurement uncertainty.

Claas-WagnerClaas Wagner
Originally trained as an economist, Claas Wagner realised that his real interests were with environmental and energy related topics and therefore continued his education in this direction. Sustainable resource management, emission reduction procedures and energy efficiency issues have all one common ground: decisions need to be based on valid data. This led to Claas’ PhD on representative sampling and data analysis for quality monitoring in large-scale combustion plants. Currently Claas combines his fields of interest, working as a consultant for various industries providing quality assurance approaches. Throughout all of this reigns representative sampling. 

Heterogeneity—the root of all evil (part 1)

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In the new Sampling Column, Kim Esbensen and Claas Wagner tell us about hetergeneity and why it is everywhere and should always be considered when sampling. The next issue will see a second part looking at how to avoid the errors involved in sampling heterogeneous materials—and that is all of them!

Read more: Heterogeneity—the root of all evil (part 1)


Theory of sampling (TOS)—fundamental definitions and concepts

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Further introduction to the Theory of Sampling by Kim Esbensen and Claas Wagner

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Theory of sampling (TOS)—the missing link before analysis

Thi is a new column on Sampling, edited by Kim Esbensen and Claas Wagner. I really only became aware of the Theory of Sampling (TOS) following conversations with Kim at the NIR-2013 conference in La Grande Motte, near Montpellier, France. I won’t steal Kim and Claas’ thunder by going into detail, but I see this new column as a perfect complement to our others. Ian Michael, editor.

Read more: Theory of sampling (TOS)—the missing link before analysis


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