Brintha, N.K.K.; Samita, S.; Abeynayake, N.R.; Idirisinghe, I.M.S.K.; Kumarathunga, M.D.P.
(Postgraduate Institute of Agriculture, Sri Lanka, 2014)
Forecasting a time series is generally done by using autoregressive integrated moving average (ARIMA) models. The main drawback of this technique is that the time series should be stationary. In reality, this assumption ...