Before revision:  Using numerical simulations and brain-imaging datasets, we demonstrate that our newly developed tests maintain the expected false-positive rate (FPR) with minimally-sufficient samples, while the classical log-likelihood ratio tests can yield an unbounded FPR depending on the parameters chosen.
After revision:  Using numerical simulations and brain-imaging datasets, we demonstrate that our newly developed tests maintain the expected false-positive rates of up to 100