duniformité

Duniformité is not a widely established technical term in itself. In French, the possessive construction “d’uniformité” or the noun “uniformité” are more common, and d’uniformité may appear only as part of a longer compound term (for example, as an expression meaning “degree of uniformity” or “measure of non-uniformity”) in technical or domain-specific texts. Because the phrase is not standardized, its precise meaning depends on context.

In general, the concept can be understood as the degree to which something deviates from being uniform. Uniformity refers to equal distribution, regular spacing, or consistent properties across a region, sample, or system. D’uniformité, then, denotes the opposite idea: non-uniformity or spatial and/or statistical variation from an ideal uniform state. The term can be applied to measurements, patterns, material properties, or probabilistic distributions.

In statistics and probability, assessing uniformity involves comparing an empirical distribution to a uniform distribution on a given domain. Common tools include entropy (where higher entropy suggests greater spread toward uniformity), chi-square tests for goodness of fit, and distance measures such as the Kolmogorov–Smirnov statistic or total variation distance. In quality control and materials science, a uniformity index or similar measure may quantify how evenly a coating, thickness, or composition is distributed. In computer science, testing the uniformity of pseudo-random number generators and hashing functions is a standard practice to limit d’uniformité.

See also uniformité, uniform distribution, convergence (uniform), entropy, and statistical goodness-of-fit tests.