Parameter Regression: Modeling Explained

AI Thread Summary
Parameter regression in modeling refers to the process of using regression techniques to derive parameters from simpler systems, which can then be applied to make predictions for more complex systems. This approach often relies on engineering models and correlations based on experimental data. The discussion highlights the importance of understanding the context in which parameter regression is used, as the term itself is not specific to a particular mathematical technique. For further clarity, resources like Wikipedia provide comprehensive information on regression methods. Overall, parameter regression is a valuable tool for enhancing predictive accuracy in modeling complex systems.
absurdist
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What is a parameter regression in modeling?
 
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absurdist said:
What is a parameter regression in modeling?

That terminology is not specific enough to identify a particular technique in mathematics. If you saw it mentioned in some context, you should explain the situation.
 
It was used in the context of using engineering models/correlations based on experimental data: After obtaining an analytically derived mathematical model for a simpler system to use the regressed parameters to make more accurate predictions for more complex systems.
I tried googling it but in vain:(
 
absurdist said:
It was used in the context of using engineering models/correlations based on experimental data: After obtaining an analytically derived mathematical model for a simpler system to use the regressed parameters to make more accurate predictions for more complex systems.
I tried googling it but in vain:(

They mean exactly what they said: do regression and then use the model to make predictions for a more complex system. Wikipedia has a good article on regression.
 
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