Identifying and Fitting Candidate Models

Now that we know how the different ARIMA model specifications work, we can find the one that best describes our temperature data in San Francisco. In this lesson, we will propose a simple flow to fit some candidate models.

Let’s return now to the temperatures data, but aggregated at the monthly average level. This will make our calculations easier and faster without the loss of generality.