-
Why Time Series Data Need To Be Stationary?
Why Time Series Data Needs To Be Stationary ? (1) Reason-1 In Time Series data we know that the current data value is dependent on the previous data values. Which means there is a relationship between previous values and current values. If the data set is non-stationary the mean and variance of the data will change over time. As time series uses only one variable for prediction, with changing mean and variance it will be difficult to calculate the relationship between past values. Hence Time Series demands the Stationarity of data. (2) Reason-2 What quantities are we typically interested in
