Supposing that I have a given function that explains some behavior of one determined system. That function, has four parameters on it, which are constants that might change depending on the environment of the scenario in which the model is applied.
So, I have a set of real data and I want to find out which value of each of these parameters are able to better fit on my data. Hence, my goal is to by using my real data, discover which are the constant parameters that when applied to my function - which in theory explains the system - are able to achieve closer results to the real scenario.
So to sum up, I want with my real data, find out which are the values of the constants in my function for that particular case.
Hope that I managed to be precise and succinct albeit the complexity of the problem.