{{Short description|Sampling scenario in Gy's sampling theory}} {{one source|date=February 2012}}
During sampling of granular materials (whether airborne, suspended in liquid, aerosol, or aggregated), '''correct sampling''' is defined in Gy's sampling theory as a sampling scenario in which all particles in a population have the same probability of ending up in the sample.<ref name="Gy1979"> {{cite book | last=Gy | first=Pierre | title=Sampling of particulate materials : theory and practice| series=Developments in geomathematics | publisher=Elsevier Scientific Pub. Co. | publication-place=Amsterdam | date=1979 | isbn=0-444-41826-1 | oclc=5101118| url=https://books.google.com/books?id=dYIjAQAAIAAJ}}</ref>
The concentration of the property of interest in a sample can be a biased estimate for the concentration of the property of interest in the population from which the sample is drawn. Although generally non-zero, for correct sampling this bias is thought to be negligible.<ref name="Gy1979"/>
==See also== *Particle filter *Particle in a box *Particulate matter sampler *Statistical sampling *Gy's sampling theory
== References == {{Reflist}}
Category:Sampling (statistics) Category:Particulates Category:Meteorological instrumentation and equipment Category:Aerosols
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