Mischstests
Mischtests, also known as admixture tests or blend tests, are a class of statistical tests used to determine if observed data is a mixture of two or more distinct underlying distributions. In simpler terms, they help answer the question of whether a dataset can be explained as a combination of different underlying processes or populations, rather than a single, homogeneous one.
The fundamental principle behind mischtests is to compare a hypothesized mixture model to a null hypothesis
These tests are valuable in diverse fields. In biology, they can be used to detect the presence