is the mathematical
practice of applying a model
data (data which has a potentially infinite number, and divisibility, of attributes). They often use differential equations
and are converse to discrete modelling
Modelling is generally broken down into several steps:
- Making assumptions about the data: The modeller decides what is influencing the data and what can be safely ignored.
- Making equations to fit the assumptions.
- Solving the equations.
- Verifying the results: Various statistical tests are applied to the data and the model and compared.
- If the model passes the verification progress it is put into practice.