- #1
Pythagorean
Gold Member
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What is a good test for hypothesis testing of a complex deterministic model?
What I'm doing:
I have a complex system of nonlinear differential equations. I must solve them numerically. There are about 22 input parameters that I have rough physiological ranges for and I use a genetic algorithm to determine possible solutions.
Once I have (numerical) solutions, I can make abstract analyses on the output data generated by the the model (like wave width, rise-time, fall-time, etc).
What would be a good statistical test to find correlations and functional relationships between the input parameters and these abstract output quantities.
What I'm doing:
I have a complex system of nonlinear differential equations. I must solve them numerically. There are about 22 input parameters that I have rough physiological ranges for and I use a genetic algorithm to determine possible solutions.
Once I have (numerical) solutions, I can make abstract analyses on the output data generated by the the model (like wave width, rise-time, fall-time, etc).
What would be a good statistical test to find correlations and functional relationships between the input parameters and these abstract output quantities.