A nonseasonal ARIMA model is classified as an “ARIMA(p,d,q)” model, where: p is the number of autoregressive terms, d is the number of nonseasonal differences needed for stationarity, and . q is the number of lagged forecast errors in the prediction equation .
Read moreWhat package is auto Arima in Python?
In this article we will build an Auto ARIMA model using a great package called ‘Pyramid’ . Please read the below two articles first if you are not familiar with the time-series modeling and ARIMA in particular.
Read moreHow do you evaluate ARIMA model in python?
Evaluate an ARIMA Model
Read moreWhat is auto Arima model?
An autoregressive integrated moving average, or ARIMA, is a statistical analysis model that uses time-series data to better understand the data set or predict future trends . A statistical model is autoregressive if it predicts future values based on past values.
Read more