Lesson plan
Continuous modelling
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 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.
Article summary
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 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.
Key claims
No claims recorded.
Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
No sources recorded.
Key claims and bibliography are generated from the same tracked claims and sources as the article page.