In psychological science, we seekto uncover general
laws and principles that govern the behavior under
investigation. As these laws and principles are not
directly observable, they are formulated in terms of
hypotheses. In mathematical modeling, such hypotheses
about the structure and inner working of the
behavioral process of interest are stated in terms of
parametric families of probability distributions called
models. The goal of modeling is to deduce the form of
the underlying process by testing the viability of such
models.