MHB What does this mean? (Dynamic forces in modelling)

AI Thread Summary
Dynamic forces in mathematical modeling refer to external factors influencing the dependent variable that are not included in the model. One example discussed involves a study on crime where "neighborhood effects" were identified as a dynamic force impacting results. The omission of such influential factors can lead to discrepancies between the model's predictions and real-world outcomes. It is generally expected that these ignored factors should be minimal for the model to remain valid. Understanding dynamic forces is crucial for improving the accuracy of models in various fields.
davemk
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Hi, hopefully this is a simple question and easily answered.

I've been doing some reading on the subject of mathematical modelling and examples of modelling reports. In one report, the failings of the model are put down to "dynamic forces". I've taken this to mean that there are external factors affecting the dependant variable that are not contained within the model. Am I right?

Sorry, I know it's probably a stupid question but just wanted clarification!

Cheers.Dave.
 
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davemk said:
Hi, hopefully this is a simple question and easily answered.

I've been doing some reading on the subject of mathematical modelling and examples of modelling reports. In one report, the failings of the model are put down to "dynamic forces". I've taken this to mean that there are external factors affecting the dependant variable that are not contained within the model. Am I right?

Sorry, I know it's probably a stupid question but just wanted clarification!

Cheers.Dave.

Without more information it is difficult to say, but one possibility is that the model is constructed using a quasi-static approximation (things change but slowly so that dynamic effects can be ignored). Then you would expect the model to diverge from reality/experiment due to the ignored dynamic factors (forces).

CB
 
It was a study into causes of crime, using economic deprivation as an influence of crime (along with detection / conviction rates). It suggested that "neighbourhood effects" were a dynamic force affecting crime. As neighbourhood effects wasn't included in the analysis, I understood "dynamic forces" to mean influential factors that were not included in the analysis.
 
CB
davemk said:
It was a study into causes of crime, using economic deprivation as an influence of crime (along with detection / conviction rates). It suggested that "neighbourhood effects" were a dynamic force affecting crime. As neighbourhood effects wasn't included in the analysis, I understood "dynamic forces" to mean influential factors that were not included in the analysis.

Ignored factors seems plausible. Normally one would hope these are small, as otherwise it is not worth modelling without them
 

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