Convenience samplingConvenience sampling (also known as grab sampling, accidental sampling, or opportunity sampling) is a type of non-probability sampling that involves the sample being drawn from that part of the population that is close to hand. This type of sampling is most useful for pilot testing. Convenience sampling is not often recommended for research due to the possibility of sampling error and lack of representation of the population. But it can be handy depending on the situation. In some situations, convenience sampling is the only possible option.
Échantillon biaiséEn statistiques, le mot biais a un sens précis qui n'est pas tout à fait le sens habituel du mot. Un échantillon biaisé est un ensemble d'individus d'une population, censé la représenter, mais dont la sélection des individus a introduit un biais qui ne permet alors plus de conclure directement pour l'ensemble de la population. Un échantillon biaisé n'est donc pas un échantillon de personnes biaisées (bien que ça puisse être le cas) mais avant tout un échantillon sélectionné de façon biaisée.
Divergence ultravioletteIn physics, an ultraviolet divergence or UV divergence is a situation in which an integral, for example a Feynman diagram, diverges because of contributions of objects with unbounded energy, or, equivalently, because of physical phenomena at infinitesimal distances. Since an infinite result is unphysical, ultraviolet divergences often require special treatment to remove unphysical effects inherent in the perturbative formalisms. In particular, UV divergences can often be removed by regularization and renormalization.
