Continuous modelling

Revision as of 14:36, 19 August 2024 by imported>JoeNMLC (→‎top: ce, chg unref. to one source tag)
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

Template:Short description Template:One source

Continuous modelling is the mathematical practice of applying a model to continuous data (data which has a potentially infinite number, and divisibility, of attributes). They often use differential equations<ref name="Zill2012">Template:Cite book</ref> 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, putting it into practice.
  • If the model fails the verification progress, altering it and subjecting it again to verification; if it persists in fitting the data more poorly than a competing model, it is abandoned.

ReferencesEdit

Template:Reflist

External linksEdit

Template:Mathapplied-stub