(Semi)parametric
models are not typically in keeping with the state of knowledge as
an experiment is being conducted
•The assumptions are
more detailed than the hypothesis being tested, e.g.,
–Question: How does the
intervention affect the first moment of the probability
distribution?
–Assumption: We know
how the intervention affects the 2nd, 3rd, …, ∞ central
moments of the probability distribution.