  Good statistics for measuring large-scale structure in the Universe must be
able to distinguish between different models of structure formation. In this
paper, two and three dimensional ``counts in cell" statistics and a new
``discrete genus statistic" are applied to toy versions of several popular
theories of structure formation: random phase cold dark matter model, cosmic
string models, and global texture scenario. All three statistics appear quite
promising in terms of differentiating between the models.

Astrophysics;High Energy Physics - Phenomenology