Empirical Model Development: Examples of Cases & Mechanisms

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In summary, the conversation discusses the development of empirical models in the absence of theoretical models and how they later catch up and explain the mechanistic details. Examples such as Rydberg's formula for predicting spectral lines and the models of the solar system using epicycles are mentioned. The conversation also touches on the role of experimentation and empirical evidence in the development of scientific knowledge.
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Que Pasa
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Hello all,

Could someone offer an example of case where an empirical model was developed first due to absence of theoretical models and later (possibly years later), the theoretical models caught up and were able to explain the mechanistic detail that the empirical model could not?

Thank you,
QP
 
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  • #3
I may be completely misunderstanding the question but isn't that basically how most of our scientific knowledge has developed?
 
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ST: Rydberg's empirical relationship was a great example. Exactly the kind I had in mind.
Alan: You are right, experimentation, empirical modeling and mechanistic understanding is how scientific knowledge has developed for the most part. However, most landmark publications give a complete story along with the underlying physics, chemistry or biology as the case maybe. I was going after examples where empirical models were the only mode of understanding for a long period before theory could offer more details. With this and Stephen's example would it be possible for you to offer another example? Thank you!
 
  • #5
There are the models of the solar system that used epicycles, then the Copernican model, then Kepler's attempt based on the geometry of regular solids.
 
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Good examples would be any famous experiments and famous failed theories. Michelson Morley comes to mind. Also, the orbits of planets. Those types of examples show how the struggle for a valid theory proceeded based on empirical evidence.

I agree with @alan2. It seems like almost all our knowledge comes from empirical evidence. There are more failed theories than successful (so far) theories and it is empirical evidence that sorts them out.
 
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FAQ: Empirical Model Development: Examples of Cases & Mechanisms

What is an empirical model?

An empirical model is a mathematical representation of a real-world phenomenon that is based on observed data. It is used to describe, predict, or explain the behavior of a system or process.

What are some examples of empirical models?

Some common examples of empirical models include regression models, time series models, and simulation models. These can be used to study a variety of phenomena, such as economic trends, weather patterns, and biological processes.

How are empirical models developed?

Empirical models are developed through a process of data collection, analysis, and validation. This typically involves identifying relevant variables, selecting a mathematical form for the model, and estimating the model parameters using statistical techniques.

Can empirical models be used to make predictions?

Yes, empirical models can be used to make predictions about future behavior of a system or process. However, the accuracy of these predictions depends on the quality of the data and the assumptions made in the model development process.

What are some limitations of empirical models?

Empirical models are based on observed data, which may not always be available or accurate. Additionally, these models may not capture all the complexities of a system or process, and their predictions may be affected by unobserved factors or changes in the underlying conditions.

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