Fitting AR and MA models
In this exercise you will fit an AR and an MA model to some data. The data here has been generated using the arma_generate_sample() function we used before.
You know the real AR and MA parameters used to create this data so it is a really good way to gain some confidence with ARMA models and know you are doing it right. In the next exercise you'll move onto some real world data with confidence.
There is a pandas DataFrame available in your environment called sample. It has two columns of different time series data.
Deze oefening maakt deel uit van de cursus
ARIMA Models in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Instantiate the model
model = ARIMA(____, order=____)
# Fit the model
results = model.____
# Print summary
print(____)