Hello…

While forecasting Time Series, there can be two possibilities:

a)_ A strictly stationary series with no dependence among the values. Here we can model the residuals as white noise._

b) A series with significant dependence among values. In this case we need to use some statistical models like ARIMA to forecast the data.

How we can identify a stationary series with **no dependence among the values** .

How we should move ahead on modelling in that case. An explanation with example will be helpful.

Thanks in anticipation.