Hi All,
I'm trying to forecast a monthly series data. I have observed a monthly seasonality in the data. Hence I have taken the dependent variable as y(t)-y(t-1)-y(t-12)+y(t-13).
I'm trying to apply the model ARIMA(0,1,0)(0,1,1)12.
I have attached the data and output. I'm relatively new to this topic. Am I doing it correct. If yes, can there be a better ARIMA model?
I'm trying to forecast a monthly series data. I have observed a monthly seasonality in the data. Hence I have taken the dependent variable as y(t)-y(t-1)-y(t-12)+y(t-13).
I'm trying to apply the model ARIMA(0,1,0)(0,1,1)12.
I have attached the data and output. I'm relatively new to this topic. Am I doing it correct. If yes, can there be a better ARIMA model?